Model Information	
Data Set	WORK.AUGMENT	
Method	MCMC	
Multiple Imputation Chain	Multiple Chains	
Initial Estimates for MCMC	EM Posterior Mode	
Start	Starting Value	
Prior	Jeffreys	
Number of Imputations	5	
Number of Burn-in Iterations	200	
Seed for random number generator	67380298	

Missing Data Patterns	
Group	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	Freq	Percent	
										
1	X	X	X	X	X	X	X	35	70.00	
2	X	X	X	X	X	X	.	2	4.00	
3	X	X	X	X	X	.	X	1	2.00	
4	X	X	X	X	X	.	.	4	8.00	
5	X	X	X	X	.	X	X	1	2.00	
6	X	X	X	.	.	.	.	2	4.00	
7	X	X	.	.	X	X	X	1	2.00	
8	X	X	.	.	.	.	.	4	8.00	

Missing Data Patterns	
Group	Group Means	
	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	
1	30.285714	25.257143	20.028571	17.057143	15.142857	12.085714	10.628571	
2	29.500000	22.500000	20.000000	21.000000	21.000000	21.500000	.	
3	39.000000	28.000000	10.000000	8.000000	11.000000	.	4.000000	
4	30.000000	23.000000	25.000000	26.250000	28.250000	.	.	
5	24.000000	19.000000	17.000000	11.000000	.	9.000000	5.000000	
6	22.500000	14.500000	8.000000	.	.	.	.	
7	43.000000	32.000000	.	.	19.000000	11.000000	10.000000	
8	29.250000	25.750000	.	.	.	.	.	

EM (Posterior Mode) Estimates	
_TYPE_	_NAME_	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	
MEAN		30.140000	24.640000	19.830611	17.487757	16.179088	13.162066	11.656658	
COV	HD_t0	32.069310	21.767586	13.979380	12.103436	9.643746	5.364582	4.241144	
COV	HD_t1	21.767586	35.543448	27.822103	30.674637	24.744721	16.987657	11.763135	
COV	HD_t2	13.979380	27.822103	49.108400	40.161105	35.619028	29.214202	24.589716	
COV	HD_t3	12.103436	30.674637	40.161105	61.398041	56.451915	44.043249	38.485487	
COV	HD_t4	9.643746	24.744721	35.619028	56.451915	63.702595	52.684582	47.977853	
COV	HD_t5	5.364582	16.987657	29.214202	44.043249	52.684582	54.080158	48.959137	
COV	HD_t6	4.241144	11.763135	24.589716	38.485487	47.977853	48.959137	52.689748	

Variance Information	
Variable	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
HD_t2	0.067722	1.130656	1.211923	41.886	0.071876	0.069147	0.986359	
HD_t3	0.112762	1.435434	1.570748	39.872	0.094267	0.089519	0.982411	
HD_t4	0.236690	1.472692	1.756721	31.394	0.192863	0.172427	0.966664	
HD_t5	0.084353	1.372955	1.474179	41.722	0.073727	0.070852	0.986028	
HD_t6	0.412062	1.280191	1.774664	20.479	0.386250	0.305090	0.942491	

Parameter Estimates	
Variable	Mean	Std Error	95% Confidence Limits	DF	Minimum	Maximum	Mu0	t for H0:
Mean=Mu0	Pr > |t|	
HD_t2	19.800231	1.100874	17.57840	22.02206	41.886	19.362787	20.022103	0	17.99	<.0001	
HD_t3	17.230280	1.253295	14.69702	19.76354	39.872	16.675563	17.571978	0	13.75	<.0001	
HD_t4	15.987645	1.325413	13.28582	18.68947	31.394	15.246026	16.500194	0	12.06	<.0001	
HD_t5	13.035243	1.214158	10.58449	15.48600	41.722	12.762042	13.514537	0	10.74	<.0001	
HD_t6	11.382090	1.332165	8.60740	14.15678	20.479	10.547575	12.080681	0	8.54	<.0001	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	7	
Columns in X	9	
Columns in Z per Subject	3	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2094.44041480		
1	2	1864.86123736	0.00084832	
2	1	1864.20999730	0.00009222	
3	1	1864.14501127	0.00000148	
4	1	1864.14402998	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	54.7758	
UN(2,1)	id	4.3881	
UN(2,2)	id	2.4429	
UN(3,1)	id	-3.2218	
UN(3,2)	id	-0.2410	
UN(3,3)	id	0.2911	
Residual		10.7206	

Fit Statistics	
-2 Res Log Likelihood	1864.1	
AIC (Smaller is Better)	1878.1	
AICC (Smaller is Better)	1878.5	
BIC (Smaller is Better)	1891.5	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
6	230.30	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept		19.7573	1.5771	48	12.53	<.0001	
Treatment_Group	Augmentation	-4.5749	2.2110	162	-2.07	0.0401	
Treatment_Group	Control	0	.	.	.	.	
week1		-2.6880	0.3550	48	-7.57	<.0001	
week1*Treatment_Grou	Augmentation	-0.5576	0.5019	162	-1.11	0.2682	
week1*Treatment_Grou	Control	0	.	.	.	.	
week1*week1		0.2996	0.1377	44	2.18	0.0350	
week1*week1*Treatmen	Augmentation	0.1537	0.1931	162	0.80	0.4272	
week1*week1*Treatmen	Control	0	.	.	.	.	

Solution for Random Effects	
Effect	Subject	Estimate	Std Err Pred	DF	t Value	Pr > |t|	
Intercept	1	-0.2343	2.2441	162	-0.10	0.9170	
week1	1	-0.4569	0.6470	162	-0.71	0.4811	
week1*week1	1	0.1050	0.2866	162	0.37	0.7145	
Intercept	2	-4.8376	2.3124	162	-2.09	0.0380	
week1	2	-1.8708	0.6855	162	-2.73	0.0071	
week1*week1	2	0.6231	0.2870	162	2.17	0.0314	
Intercept	3	-7.9434	3.5735	162	-2.22	0.0276	
week1	3	-0.09092	1.2071	162	-0.08	0.9401	
week1*week1	3	0.4269	0.3547	162	1.20	0.2304	
Intercept	4	-2.5352	2.2441	162	-1.13	0.2603	
week1	4	0.1678	0.7737	162	0.22	0.8286	
week1*week1	4	0.1928	0.3187	162	0.60	0.5460	
Intercept	5	8.1797	2.2441	162	3.64	0.0004	
week1	5	-1.3323	0.6470	162	-2.06	0.0411	
week1*week1	5	-0.9267	0.2866	162	-3.23	0.0015	
Intercept	6	-9.0408	2.2441	162	-4.03	<.0001	
week1	6	-1.7096	0.6470	162	-2.64	0.0090	
week1*week1	6	0.7575	0.2866	162	2.64	0.0090	
Intercept	7	0.4202	2.2441	162	0.19	0.8517	
week1	7	-0.4681	0.6470	162	-0.72	0.4704	
week1*week1	7	0.4848	0.2866	162	1.69	0.0927	
Intercept	8	4.3490	2.2441	162	1.94	0.0544	
week1	8	-3.1178	0.6470	162	-4.82	<.0001	
week1*week1	8	-0.2180	0.2866	162	-0.76	0.4481	
Intercept	9	-11.5272	3.5735	162	-3.23	0.0015	
week1	9	0.4315	1.2071	162	0.36	0.7212	
week1*week1	9	0.5396	0.3547	162	1.52	0.1301	
Intercept	10	-4.7881	2.2441	162	-2.13	0.0344	
week1	10	-0.05341	0.6470	162	-0.08	0.9343	
week1*week1	10	0.6536	0.2866	162	2.28	0.0239	
Intercept	11	-4.4997	2.2441	162	-2.01	0.0466	
week1	11	0.6923	0.6470	162	1.07	0.2862	
week1*week1	11	0.1621	0.2866	162	0.57	0.5724	
Intercept	12	1.3299	2.2441	162	0.59	0.5543	
week1	12	0.7937	0.6470	162	1.23	0.2217	
week1*week1	12	-0.2250	0.2866	162	-0.78	0.4337	
Intercept	13	3.8417	5.1829	162	0.74	0.4596	
week1	13	-0.06569	1.3119	162	-0.05	0.9601	
week1*week1	13	-0.1992	0.4377	162	-0.46	0.6496	
Intercept	14	1.4293	5.1829	162	0.28	0.7831	
week1	14	-0.5047	1.3119	162	-0.38	0.7010	
week1*week1	14	0.001970	0.4377	162	0.00	0.9964	
Intercept	15	-1.0917	2.2441	162	-0.49	0.6273	
week1	15	-2.0075	0.6470	162	-3.10	0.0023	
week1*week1	15	0.1284	0.2866	162	0.45	0.6547	
Intercept	16	-2.9548	2.2441	162	-1.32	0.1898	
week1	16	0.5012	0.6470	162	0.77	0.4397	
week1*week1	16	0.1087	0.2866	162	0.38	0.7051	
Intercept	17	0.9158	2.2441	162	0.41	0.6837	
week1	17	0.6356	0.6470	162	0.98	0.3274	
week1*week1	17	-0.2811	0.2866	162	-0.98	0.3281	
Intercept	18	16.2321	2.3407	162	6.93	<.0001	
week1	18	1.9062	0.9432	162	2.02	0.0449	
week1*week1	18	-0.7736	0.3266	162	-2.37	0.0190	
Intercept	19	4.5335	2.2441	162	2.02	0.0450	
week1	19	2.1326	0.6470	162	3.30	0.0012	
week1*week1	19	-0.3631	0.2866	162	-1.27	0.2070	
Intercept	20	7.6568	2.2441	162	3.41	0.0008	
week1	20	-0.09871	0.6470	162	-0.15	0.8789	
week1*week1	20	-0.7941	0.2866	162	-2.77	0.0063	
Intercept	21	9.5153	2.2441	162	4.24	<.0001	
week1	21	2.3440	0.6470	162	3.62	0.0004	
week1*week1	21	-0.7066	0.2866	162	-2.47	0.0147	
Intercept	22	-2.3648	5.1829	162	-0.46	0.6488	
week1	22	0.4485	1.3119	162	0.34	0.7329	
week1*week1	22	0.05798	0.4377	162	0.13	0.8948	
Intercept	23	11.4110	2.2441	162	5.08	<.0001	
week1	23	2.1083	0.6470	162	3.26	0.0014	
week1*week1	23	-0.3426	0.2866	162	-1.20	0.2337	
Intercept	24	-11.9560	2.2441	162	-5.33	<.0001	
week1	24	-0.4270	0.6470	162	-0.66	0.5102	
week1*week1	24	0.5754	0.2866	162	2.01	0.0464	
Intercept	25	-3.1002	2.4103	162	-1.29	0.2002	
week1	25	0.1458	0.6581	162	0.22	0.8249	
week1*week1	25	-0.02696	0.2997	162	-0.09	0.9284	
Intercept	26	-2.9405	2.2441	162	-1.31	0.1919	
week1	26	-0.1040	0.6470	162	-0.16	0.8725	
week1*week1	26	0.03901	0.2866	162	0.14	0.8919	
Intercept	27	-4.1300	2.2598	162	-1.83	0.0694	
week1	27	-0.7963	0.6469	162	-1.23	0.2201	
week1*week1	27	0.3016	0.2872	162	1.05	0.2953	
Intercept	28	5.4584	2.2598	162	2.42	0.0168	
week1	28	-1.8158	0.6469	162	-2.81	0.0056	
week1*week1	28	0.05757	0.2872	162	0.20	0.8414	
Intercept	29	6.5534	2.3569	162	2.78	0.0061	
week1	29	2.1053	0.9442	162	2.23	0.0271	
week1*week1	29	-0.2789	0.3270	162	-0.85	0.3949	
Intercept	30	1.6855	2.7612	162	0.61	0.5424	
week1	30	-2.1908	0.6546	162	-3.35	0.0010	
week1*week1	30	0.07655	0.3339	162	0.23	0.8189	
Intercept	31	5.7189	2.2598	162	2.53	0.0123	
week1	31	0.8318	0.6469	162	1.29	0.2003	
week1*week1	31	-0.4020	0.2872	162	-1.40	0.1635	
Intercept	32	17.5414	2.2598	162	7.76	<.0001	
week1	32	0.07965	0.6469	162	0.12	0.9022	
week1*week1	32	-0.8461	0.2872	162	-2.95	0.0037	
Intercept	33	-16.2675	2.2598	162	-7.20	<.0001	
week1	33	-2.0627	0.6469	162	-3.19	0.0017	
week1*week1	33	1.0509	0.2872	162	3.66	0.0003	
Intercept	34	3.8663	2.2598	162	1.71	0.0890	
week1	34	-0.6145	0.6469	162	-0.95	0.3435	
week1*week1	34	-0.4774	0.2872	162	-1.66	0.0984	
Intercept	35	-4.2229	2.2598	162	-1.87	0.0635	
week1	35	-2.3670	0.6469	162	-3.66	0.0003	
week1*week1	35	0.3010	0.2872	162	1.05	0.2962	
Intercept	36	-4.5725	2.2598	162	-2.02	0.0447	
week1	36	1.0659	0.6469	162	1.65	0.1013	
week1*week1	36	0.1915	0.2872	162	0.67	0.5060	
Intercept	37	-0.4028	2.2598	162	-0.18	0.8588	
week1	37	-0.8057	0.6469	162	-1.25	0.2148	
week1*week1	37	0.2625	0.2872	162	0.91	0.3621	
Intercept	38	-0.8534	2.2598	162	-0.38	0.7062	
week1	38	-0.1497	0.6469	162	-0.23	0.8173	
week1*week1	38	0.1962	0.2872	162	0.68	0.4954	
Intercept	39	-1.7948	2.2598	162	-0.79	0.4282	
week1	39	1.3159	0.6469	162	2.03	0.0436	
week1*week1	39	0.1914	0.2872	162	0.67	0.5061	
Intercept	40	3.1814	5.1878	162	0.61	0.5406	
week1	40	0.5613	1.3125	162	0.43	0.6695	
week1*week1	40	-0.2626	0.4378	162	-0.60	0.5495	
Intercept	41	-12.0286	2.2598	162	-5.32	<.0001	
week1	41	-0.9856	0.6469	162	-1.52	0.1296	
week1*week1	41	0.7379	0.2872	162	2.57	0.0111	
Intercept	42	-10.0757	2.2598	162	-4.46	<.0001	
week1	42	-0.2729	0.6469	162	-0.42	0.6737	
week1*week1	42	0.4020	0.2872	162	1.40	0.1635	
Intercept	43	2.3356	2.2598	162	1.03	0.3029	
week1	43	-1.0286	0.6469	162	-1.59	0.1138	
week1*week1	43	-0.4936	0.2872	162	-1.72	0.0876	
Intercept	44	-3.3896	2.2598	162	-1.50	0.1356	
week1	44	-0.2559	0.6469	162	-0.40	0.6929	
week1*week1	44	-0.2053	0.2872	162	-0.71	0.4757	
Intercept	45	2.1050	2.2598	162	0.93	0.3530	
week1	45	-0.00476	0.6469	162	-0.01	0.9941	
week1*week1	45	-0.4578	0.2872	162	-1.59	0.1129	
Intercept	46	6.0623	2.3569	162	2.57	0.0110	
week1	46	2.0960	0.9442	162	2.22	0.0278	
week1*week1	46	-0.2930	0.3270	162	-0.90	0.3715	
Intercept	47	8.9880	2.2598	162	3.98	0.0001	
week1	47	3.1061	0.7743	162	4.01	<.0001	
week1*week1	47	-0.2725	0.3191	162	-0.85	0.3944	
Intercept	48	-5.2273	2.2598	162	-2.31	0.0220	
week1	48	-0.5464	0.6469	162	-0.84	0.3995	
week1*week1	48	0.05241	0.2872	162	0.18	0.8554	
Intercept	49	0.8927	2.2598	162	0.40	0.6933	
week1	49	1.0225	0.6469	162	1.58	0.1159	
week1*week1	49	0.2332	0.2872	162	0.81	0.4180	
Intercept	50	-1.4237	2.3569	162	-0.60	0.5467	
week1	50	1.7121	0.9442	162	1.81	0.0716	
week1*week1	50	-0.06548	0.3270	162	-0.20	0.8415	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	162	4.28	0.0401	
week1	1	48	139.76	<.0001	
week1*Treatment_Grou	1	162	1.23	0.2682	
week1*week1	1	44	15.21	0.0003	
week1*week1*Treatmen	1	162	0.63	0.4272	

Analysis Variable : hamd	
Treatment_Group	week	N Obs	N	Mean	Std Dev	Minimum	Maximum	
Augmentation	0	26	26	29.2692308	6.0236713	20.0000000	41.0000000	
	1	26	26	23.2692308	5.8621340	12.0000000	35.0000000	
	2	26	23	18.4347826	7.9133149	6.0000000	34.0000000	
	3	26	21	15.5714286	8.8463067	1.0000000	34.0000000	
	4	26	20	14.3500000	8.4683622	2.0000000	34.0000000	
	5	26	19	10.5789474	5.9750945	1.0000000	26.0000000	
	6	26	19	8.8947368	6.5819175	0	25.0000000	
Control	0	24	24	31.0833333	6.2964218	22.0000000	43.0000000	
	1	24	24	26.1250000	6.9176051	12.0000000	42.0000000	
	2	24	22	20.9090909	7.6214552	6.0000000	38.0000000	
	3	24	22	19.8181818	7.9140403	3.0000000	37.0000000	
	4	24	23	18.6086957	8.6167866	1.0000000	38.0000000	
	5	24	20	14.2500000	8.3532219	0	33.0000000	
	6	24	19	11.6842105	6.5494074	0	23.0000000	

Analysis Variable : hamd	
subgroup	Treatment_Group	week	N Obs	N	Mean	Std Dev	Minimum	Maximum	
Completer	Augmentation	0	19	19	29.6315789	6.3788760	22.0000000	41.0000000	
		1	19	19	23.7368421	5.5461909	12.0000000	35.0000000	
		2	19	19	19.1578947	7.6176925	8.0000000	34.0000000	
		3	19	19	14.6842105	8.1924941	1.0000000	29.0000000	
		4	19	18	13.5555556	7.4219248	2.0000000	30.0000000	
		5	19	18	10.6111111	6.1466288	1.0000000	26.0000000	
		6	19	19	8.8947368	6.5819175	0	25.0000000	
	Control	0	19	19	31.7368421	6.6903090	23.0000000	43.0000000	
		1	19	19	26.9473684	7.2608056	12.0000000	42.0000000	
		2	19	18	20.2222222	7.9967314	6.0000000	38.0000000	
		3	19	18	18.7222222	8.1947297	3.0000000	37.0000000	
		4	19	19	16.6315789	7.7832479	1.0000000	38.0000000	
		5	19	19	13.2631579	7.2865333	0	31.0000000	
		6	19	19	11.6842105	6.5494074	0	23.0000000	
Late dropout	Augmentation	0	2	2	32.0000000	4.2426407	29.0000000	35.0000000	
		1	2	2	25.5000000	9.1923882	19.0000000	32.0000000	
		2	2	2	22.0000000	8.4852814	16.0000000	28.0000000	
		3	2	2	24.0000000	14.1421356	14.0000000	34.0000000	
		4	2	2	21.5000000	17.6776695	9.0000000	34.0000000	
		5	2	1	10.0000000	.	10.0000000	10.0000000	
		6	2	0	.	.	.	.	
	Control	0	4	4	28.7500000	4.7169906	22.0000000	33.0000000	
		1	4	4	21.5000000	3.8729833	17.0000000	26.0000000	
		2	4	4	24.0000000	5.3541261	18.0000000	31.0000000	
		3	4	4	24.7500000	4.2720019	19.0000000	28.0000000	
		4	4	4	28.0000000	6.2182527	19.0000000	33.0000000	
		5	4	1	33.0000000	.	33.0000000	33.0000000	
		6	4	0	.	.	.	.	
Early dropout	Augmentation	0	5	5	26.8000000	5.2153619	20.0000000	33.0000000	
		1	5	5	20.6000000	6.5421709	12.0000000	28.0000000	
		2	5	2	8.0000000	2.8284271	6.0000000	10.0000000	
		3	5	0	.	.	.	.	
		4	5	0	.	.	.	.	
		5	5	0	.	.	.	.	
		6	5	0	.	.	.	.	
	Control	0	1	1	28.0000000	.	28.0000000	28.0000000	
		1	1	1	29.0000000	.	29.0000000	29.0000000	
		2	1	0	.	.	.	.	
		3	1	0	.	.	.	.	
		4	1	0	.	.	.	.	
		5	1	0	.	.	.	.	
		6	1	0	.	.	.	.	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	4	
Columns in X	6	
Columns in Z per Subject	2	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2087.08935283		
1	2	1889.85196678	0.00026373	
2	1	1889.65988621	0.00000686	
3	1	1889.65523307	0.00000001	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	33.6549	
UN(2,1)	id	-14.0025	
UN(2,2)	id	23.0671	
Residual		14.8564	

Fit Statistics	
-2 Res Log Likelihood	1889.7	
AIC (Smaller is Better)	1897.7	
AICC (Smaller is Better)	1897.8	
BIC (Smaller is Better)	1905.3	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
3	197.43	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept		31.4826	1.3529	48	23.27	<.0001	
Treatment_Group	Augmentation	-1.6816	1.8785	208	-0.90	0.3717	
Treatment_Group	Control	0	.	.	.	.	
lweek		-8.6926	1.1104	48	-7.83	<.0001	
lweek*Treatment_Grou	Augmentation	-1.7463	1.5666	208	-1.11	0.2663	
lweek*Treatment_Grou	Control	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	208	0.80	0.3717	
lweek	1	48	149.13	<.0001	
lweek*Treatment_Grou	1	208	1.24	0.2663	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	Alpha	Lower	Upper	
Intercept in augmentation group	29.8010	1.3032	208	22.87	<.0001	0.05	27.2318	32.3702	
Intercept in control group	31.4826	1.3529	208	23.27	<.0001	0.05	28.8154	34.1497	
Slope in augmentation group	-10.4389	1.1051	208	-9.45	<.0001	0.05	-12.6176	-8.2602	
Slope in control group	-8.6926	1.1104	208	-7.83	<.0001	0.05	-10.8817	-6.5036	
Difference in intercepts	-1.6816	1.8785	208	-0.90	0.3717	0.05	-5.3849	2.0217	
Difference in slopes	-1.7463	1.5666	208	-1.11	0.2663	0.05	-4.8348	1.3422	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Group Effect	drop	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
drop	2	0 1	

Dimensions	
Covariance Parameters	7	
Columns in X	18	
Columns in Z per Subject	4	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2051.97975001		
1	2	1848.98654448	0.03162781	
2	1	1847.28057465	0.02989636	
3	1	1845.97208653	0.00202698	
4	2	1845.36816039	0.00040097	
5	2	1845.08779745	0.00006365	
6	1	1845.04160614	0.00000326	
7	1	1845.03940977	0.00000001	
8	1	1845.03940069	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Group	Estimate	
UN(1,1)	id	drop 0	37.7032	
UN(2,1)	id	drop 0	-15.2532	
UN(2,2)	id	drop 0	18.8347	
UN(1,1)	id	drop 1	2.6661	
UN(2,1)	id	drop 1	21.7492	
UN(2,2)	id	drop 1	11.4154	
Residual			14.6634	

Fit Statistics	
-2 Res Log Likelihood	1845.0	
AIC (Smaller is Better)	1859.0	
AICC (Smaller is Better)	1859.4	
BIC (Smaller is Better)	1872.4	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
6	206.94	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	drop	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			26.0145	1.6490	46	15.78	<.0001	
Treatment_Group	Augmentation		2.3354	2.1681	208	1.08	0.2826	
Treatment_Group	Control		0	.	.	.	.	
lweek			0.5221	1.9968	46	0.26	0.7949	
lweek*Treatment_Grou	Augmentation		-9.9157	2.6920	208	-3.68	0.0003	
lweek*Treatment_Grou	Control		0	.	.	.	.	
drop		0	6.6502	2.2854	46	2.91	0.0056	
drop		1	0	.	.	.	.	
Treatment_Group*drop	Augmentation	0	-4.5914	3.1155	208	-1.47	0.1421	
Treatment_Group*drop	Augmentation	1	0	.	.	.	.	
Treatment_Group*drop	Control	0	0	.	.	.	.	
Treatment_Group*drop	Control	1	0	.	.	.	.	
lweek*drop		0	-10.9832	2.2920	46	-4.79	<.0001	
lweek*drop		1	0	.	.	.	.	
lweek*Treatment*drop	Augmentation	0	9.4618	3.1276	208	3.03	0.0028	
lweek*Treatment*drop	Augmentation	1	0	.	.	.	.	
lweek*Treatment*drop	Control	0	0	.	.	.	.	
lweek*Treatment*drop	Control	1	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	208	0.00	0.9797	
lweek	1	46	93.53	<.0001	
lweek*Treatment_Grou	1	208	10.99	0.0011	
drop	1	46	7.81	0.0075	
Treatment_Group*drop	1	208	2.17	0.1421	
lweek*drop	1	46	15.99	0.0002	
lweek*Treatment*drop	1	208	9.15	0.0028	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	Alpha	Lower	Upper	
Intercept in augmentation group for completers	30.4087	1.5818	208	19.22	<.0001	0.05	27.2903	33.5271	
Intercept in augmentation group for dropouts	28.3500	1.4076	208	20.14	<.0001	0.05	25.5749	31.1250	
Intercept in control group for completers	32.6647	1.5823	208	20.64	<.0001	0.05	29.5453	35.7841	
Intercept in control group for dropouts	26.0145	1.6490	208	15.78	<.0001	0.05	22.7636	29.2654	
Slope in augmentation group for completers	-10.9150	1.1264	208	-9.69	<.0001	0.05	-13.1356	-8.6945	
Slope in augmentation group for dropouts	-9.3936	1.8055	208	-5.20	<.0001	0.05	-12.9530	-5.8342	
Slope in control group for completers	-10.4611	1.1251	208	-9.30	<.0001	0.05	-12.6791	-8.2431	
Slope in control group for dropouts	0.5221	1.9968	208	0.26	0.7940	0.05	-3.4145	4.4587	
Difference in intercepts for completers	-2.2559	2.2374	208	-1.01	0.3145	0.05	-6.6667	2.1548	
Difference in intercepts for dropouts	2.3354	2.1681	208	1.08	0.2826	0.05	-1.9388	6.6097	
Difference in slopes for completers	-0.4540	1.5920	208	-0.29	0.7758	0.05	-3.5925	2.6846	
Difference in slopes for dropouts	-9.9157	2.6920	208	-3.68	0.0003	0.05	-15.2229	-4.6085	

Model Information	
Data Set	WORK.DEPRESSION	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	350	
Number of Observations Used	308	
Missing Values	42	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (7 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Clusters With Missing Values	15	
Correlation Matrix Dimension	7	
Maximum Cluster Size	7	
Minimum Cluster Size	2	

Algorithm converged.	

GEE Fit Criteria	
QIC	322.7840	
QICu	312.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		30.9508	1.2727	28.4562	33.4453	24.32	<.0001	
Treatment_Group	Augmentation	-1.8325	1.7225	-5.2086	1.5436	-1.06	0.2874	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-8.5441	1.0395	-10.5815	-6.5067	-8.22	<.0001	
lweek*Treatment_Grou	Augmentation	-1.3829	1.4439	-4.2129	1.4470	-0.96	0.3382	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	1.11	0.2926	
lweek	1	36.94	<.0001	
lweek*Treatment_Grou	1	0.90	0.3424	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	29.1183	26.8434	31.3933	29.1183	1.1607	0.05	26.8434	31.3933	629.34	<.0001	
Intercept in control group	30.9508	28.4562	33.4453	30.9508	1.2727	0.05	28.4562	33.4453	591.37	<.0001	
Slope in augmentation group	-9.9270	-11.8911	-7.9629	-9.9270	1.0021	0.05	-11.8911	-7.9629	98.13	<.0001	
Slope in control group	-8.5441	-10.5815	-6.5067	-8.5441	1.0395	0.05	-10.5815	-6.5067	67.56	<.0001	
Difference in intercepts	-1.8325	-5.2086	1.5436	-1.8325	1.7225	0.05	-5.2086	1.5436	1.13	0.2874	
Difference in slopes	-1.3829	-4.2129	1.4470	-1.3829	1.4439	0.05	-4.2129	1.4470	0.92	0.3382	

Model Information	
Data Set	WORK.AUGMENT	
Method	FCS	
Number of Imputations	10	
Number of Burn-in Iterations	20	
Seed for random number generator	67380298	

FCS Model Specification	
Method	Imputed Variables	
Regression	HD_t0 HD_t1 HD_t2 HD_t3 HD_t4 HD_t5 HD_t6	

Missing Data Patterns	
Group	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	Freq	Percent	
										
1	X	X	X	X	X	X	X	17	65.38	
2	X	X	X	X	X	X	.	1	3.85	
3	X	X	X	X	X	.	X	1	3.85	
4	X	X	X	X	X	.	.	1	3.85	
5	X	X	X	X	.	X	X	1	3.85	
6	X	X	X	.	.	.	.	2	7.69	
7	X	X	.	.	.	.	.	3	11.54	

Missing Data Patterns	
Group	Group Means	
	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	
1	29.411765	23.764706	19.823529	15.294118	13.705882	10.705882	9.411765	
2	29.000000	19.000000	16.000000	14.000000	9.000000	10.000000	.	
3	39.000000	28.000000	10.000000	8.000000	11.000000	.	4.000000	
4	35.000000	32.000000	28.000000	34.000000	34.000000	.	.	
5	24.000000	19.000000	17.000000	11.000000	.	9.000000	5.000000	
6	22.500000	14.500000	8.000000	.	.	.	.	
7	29.666667	24.666667	.	.	.	.	.	

Variance Information	
Variable	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
HD_t2	0.282444	2.411135	2.721824	19.97	0.128856	0.116701	0.988465	
HD_t3	2.526012	3.360542	6.139155	9.8565	0.826835	0.475931	0.954569	
HD_t4	2.194725	2.837498	5.251695	9.6892	0.850819	0.483402	0.953889	
HD_t5	1.354159	1.776403	3.265978	9.7741	0.838534	0.479601	0.954235	
HD_t6	2.536844	2.342282	5.132811	7.8592	1.191371	0.570950	0.945989	

Parameter Estimates	
Variable	Mean	Std Error	95% Confidence Limits	DF	Minimum	Maximum	Mu0	t for H0:
Mean=Mu0	Pr > |t|	
HD_t2	18.752383	1.649795	15.31064	22.19413	19.97	18.231646	20.000951	0	11.37	<.0001	
HD_t3	15.276269	2.477732	9.74463	20.80791	9.8565	12.328189	17.458372	0	6.17	0.0001	
HD_t4	14.038815	2.291658	8.91039	19.16724	9.6892	11.501397	16.374916	0	6.13	0.0001	
HD_t5	11.194688	1.807202	7.15534	15.23404	9.7741	8.791230	12.686575	0	6.19	0.0001	
HD_t6	10.122082	2.265571	4.88133	15.36283	7.8592	7.631968	12.317353	0	4.47	0.0022	

Model Information	
Data Set	WORK.AUGMENT	
Method	FCS	
Number of Imputations	10	
Number of Burn-in Iterations	20	
Seed for random number generator	134250611	

FCS Model Specification	
Method	Imputed Variables	
Regression	HD_t0 HD_t1 HD_t2 HD_t3 HD_t4 HD_t5 HD_t6	

Missing Data Patterns	
Group	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	Freq	Percent	
										
1	X	X	X	X	X	X	X	18	75.00	
2	X	X	X	X	X	X	.	1	4.17	
3	X	X	X	X	X	.	.	3	12.50	
4	X	X	.	.	X	X	X	1	4.17	
5	X	X	.	.	.	.	.	1	4.17	

Missing Data Patterns	
Group	Group Means	
	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	
1	31.111111	26.666667	20.222222	18.722222	16.500000	13.388889	11.777778	
2	30.000000	26.000000	24.000000	28.000000	33.000000	33.000000	.	
3	28.333333	20.000000	24.000000	23.666667	26.333333	.	.	
4	43.000000	32.000000	.	.	19.000000	11.000000	10.000000	
5	28.000000	29.000000	.	.	.	.	.	

Variance Information	
Variable	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
HD_t2	0.257408	2.426632	2.709781	18.584	0.116684	0.106656	0.989447	
HD_t3	0.080990	2.479252	2.568341	20.438	0.035934	0.034945	0.996518	
HD_t4	0.129836	3.076949	3.219768	20.199	0.046416	0.044775	0.995542	
HD_t5	0.203146	3.481042	3.704502	19.79	0.064193	0.061080	0.993929	
HD_t6	0.767439	1.999480	2.843663	13.024	0.422202	0.310242	0.969909	

Parameter Estimates	
Variable	Mean	Std Error	95% Confidence Limits	DF	Minimum	Maximum	Mu0	t for H0:
Mean=Mu0	Pr > |t|	
HD_t2	20.868368	1.646141	17.41772	24.31901	18.584	20.259134	21.720460	0	12.68	<.0001	
HD_t3	20.106784	1.602604	16.76840	23.44517	20.438	19.842486	20.716091	0	12.55	<.0001	
HD_t4	18.638640	1.794371	14.89801	22.37926	20.199	18.119253	19.160193	0	10.39	<.0001	
HD_t5	15.717787	1.924708	11.70019	19.73538	19.79	15.004033	16.320831	0	8.17	<.0001	
HD_t6	12.418457	1.686316	8.77608	16.06083	13.024	10.672334	13.401222	0	7.36	<.0001	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.6353	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.2658	2.0981	29.1537	37.3779	15.86	<.0001	
Treatment_Group	Augmentation	-1.3154	2.6186	-6.4478	3.8170	-0.50	0.6154	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.2616	1.4051	-13.0155	-7.5076	-7.30	<.0001	
lweek*Treatment_Grou	Augmentation	-2.2556	1.9350	-6.0480	1.5369	-1.17	0.2437	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.25	0.6167	
lweek	1	36.71	<.0001	
lweek*Treatment_Grou	1	1.32	0.2502	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.9504	28.8792	35.0215	31.9504	1.5669	0.05	28.8792	35.0215	415.77	<.0001	
Intercept in control group	33.2658	29.1537	37.3779	33.2658	2.0981	0.05	29.1537	37.3779	251.40	<.0001	
Slope in augmentation group	-12.5171	-15.1245	-9.9097	-12.5171	1.3303	0.05	-15.1245	-9.9097	88.53	<.0001	
Slope in control group	-10.2616	-13.0155	-7.5076	-10.2616	1.4051	0.05	-13.0155	-7.5076	53.34	<.0001	
Difference in intercepts	-1.3154	-6.4478	3.8170	-1.3154	2.6186	0.05	-6.4478	3.8170	0.25	0.6154	
Difference in slopes	-2.2556	-6.0480	1.5369	-2.2556	1.9350	0.05	-6.0480	1.5369	1.36	0.2437	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	311.6524	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.6260	2.1865	29.3404	37.9115	15.38	<.0001	
Treatment_Group	Augmentation	-3.5730	2.8478	-9.1547	2.0087	-1.25	0.2096	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.6585	1.5633	-13.7225	-7.5946	-6.82	<.0001	
lweek*Treatment_Grou	Augmentation	0.8198	2.1114	-3.3185	4.9581	0.39	0.6978	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	1.52	0.2169	
lweek	1	32.61	<.0001	
lweek*Treatment_Grou	1	0.15	0.6989	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.0530	26.4768	33.6292	30.0530	1.8246	0.05	26.4768	33.6292	271.29	<.0001	
Intercept in control group	33.6260	29.3404	37.9115	33.6260	2.1865	0.05	29.3404	37.9115	236.50	<.0001	
Slope in augmentation group	-9.8388	-12.6204	-7.0571	-9.8388	1.4192	0.05	-12.6204	-7.0571	48.06	<.0001	
Slope in control group	-10.6585	-13.7225	-7.5946	-10.6585	1.5633	0.05	-13.7225	-7.5946	46.49	<.0001	
Difference in intercepts	-3.5730	-9.1547	2.0087	-3.5730	2.8478	0.05	-9.1547	2.0087	1.57	0.2096	
Difference in slopes	0.8198	-3.3185	4.9581	0.8198	2.1114	0.05	-3.3185	4.9581	0.15	0.6978	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	311.4007	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.7957	2.0238	29.8292	37.7622	16.70	<.0001	
Treatment_Group	Augmentation	-3.3287	2.6473	-8.5173	1.8598	-1.26	0.2086	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.9473	1.2328	-13.3635	-8.5311	-8.88	<.0001	
lweek*Treatment_Grou	Augmentation	0.6308	1.7366	-2.7728	4.0345	0.36	0.7164	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	1.53	0.2164	
lweek	1	37.45	<.0001	
lweek*Treatment_Grou	1	0.13	0.7167	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.4670	27.1221	33.8118	30.4670	1.7066	0.05	27.1221	33.8118	318.71	<.0001	
Intercept in control group	33.7957	29.8292	37.7622	33.7957	2.0238	0.05	29.8292	37.7622	278.87	<.0001	
Slope in augmentation group	-10.3165	-12.7137	-7.9192	-10.3165	1.2231	0.05	-12.7137	-7.9192	71.14	<.0001	
Slope in control group	-10.9473	-13.3635	-8.5311	-10.9473	1.2328	0.05	-13.3635	-8.5311	78.86	<.0001	
Difference in intercepts	-3.3287	-8.5173	1.8598	-3.3287	2.6473	0.05	-8.5173	1.8598	1.58	0.2086	
Difference in slopes	0.6308	-2.7728	4.0345	0.6308	1.7366	0.05	-2.7728	4.0345	0.13	0.7164	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.8119	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.2579	2.1558	29.0325	37.4833	15.43	<.0001	
Treatment_Group	Augmentation	-2.6857	2.7158	-8.0086	2.6372	-0.99	0.3227	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.1133	1.4891	-13.0319	-7.1947	-6.79	<.0001	
lweek*Treatment_Grou	Augmentation	-0.3939	1.9617	-4.2389	3.4510	-0.20	0.8408	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.96	0.3275	
lweek	1	34.36	<.0001	
lweek*Treatment_Grou	1	0.04	0.8410	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.5722	27.3349	33.8094	30.5722	1.6517	0.05	27.3349	33.8094	342.61	<.0001	
Intercept in control group	33.2579	29.0325	37.4833	33.2579	2.1558	0.05	29.0325	37.4833	237.99	<.0001	
Slope in augmentation group	-10.5072	-13.0103	-8.0042	-10.5072	1.2771	0.05	-13.0103	-8.0042	67.69	<.0001	
Slope in control group	-10.1133	-13.0319	-7.1947	-10.1133	1.4891	0.05	-13.0319	-7.1947	46.12	<.0001	
Difference in intercepts	-2.6857	-8.0086	2.6372	-2.6857	2.7158	0.05	-8.0086	2.6372	0.98	0.3227	
Difference in slopes	-0.3939	-4.2389	3.4510	-0.3939	1.9617	0.05	-4.2389	3.4510	0.04	0.8408	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.1584	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.3734	2.1425	29.1741	37.5726	15.58	<.0001	
Treatment_Group	Augmentation	-2.4530	2.7681	-7.8784	2.9725	-0.89	0.3755	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.3414	1.4739	-13.2302	-7.4525	-7.02	<.0001	
lweek*Treatment_Grou	Augmentation	-0.6319	1.9161	-4.3874	3.1236	-0.33	0.7416	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.77	0.3795	
lweek	1	35.47	<.0001	
lweek*Treatment_Grou	1	0.11	0.7418	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.9204	27.4851	34.3557	30.9204	1.7527	0.05	27.4851	34.3557	311.21	<.0001	
Intercept in control group	33.3734	29.1741	37.5726	33.3734	2.1425	0.05	29.1741	37.5726	242.63	<.0001	
Slope in augmentation group	-10.9733	-13.3730	-8.5736	-10.9733	1.2243	0.05	-13.3730	-8.5736	80.33	<.0001	
Slope in control group	-10.3414	-13.2302	-7.4525	-10.3414	1.4739	0.05	-13.2302	-7.4525	49.23	<.0001	
Difference in intercepts	-2.4530	-7.8784	2.9725	-2.4530	2.7681	0.05	-7.8784	2.9725	0.79	0.3755	
Difference in slopes	-0.6319	-4.3874	3.1236	-0.6319	1.9161	0.05	-4.3874	3.1236	0.11	0.7416	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.3001	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.6356	1.9094	29.8932	37.3780	17.62	<.0001	
Treatment_Group	Augmentation	-3.3235	2.5983	-8.4161	1.7690	-1.28	0.2009	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.7727	1.1737	-13.0731	-8.4723	-9.18	<.0001	
lweek*Treatment_Grou	Augmentation	0.6565	1.7341	-2.7423	4.0552	0.38	0.7050	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	1.57	0.2097	
lweek	1	37.11	<.0001	
lweek*Treatment_Grou	1	0.14	0.7052	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.3121	26.8583	33.7659	30.3121	1.7622	0.05	26.8583	33.7659	295.89	<.0001	
Intercept in control group	33.6356	29.8932	37.3780	33.6356	1.9094	0.05	29.8932	37.3780	310.31	<.0001	
Slope in augmentation group	-10.1162	-12.6182	-7.6143	-10.1162	1.2765	0.05	-12.6182	-7.6143	62.80	<.0001	
Slope in control group	-10.7727	-13.0731	-8.4723	-10.7727	1.1737	0.05	-13.0731	-8.4723	84.25	<.0001	
Difference in intercepts	-3.3235	-8.4161	1.7690	-3.3235	2.5983	0.05	-8.4161	1.7690	1.64	0.2009	
Difference in slopes	0.6565	-2.7423	4.0552	0.6565	1.7341	0.05	-2.7423	4.0552	0.14	0.7050	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	314.1636	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.1240	2.1352	28.9392	37.3088	15.51	<.0001	
Treatment_Group	Augmentation	-3.5492	2.8301	-9.0961	1.9977	-1.25	0.2098	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-9.9846	1.4642	-12.8542	-7.1149	-6.82	<.0001	
lweek*Treatment_Grou	Augmentation	0.9223	2.1439	-3.2797	5.1243	0.43	0.6671	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	1.52	0.2171	
lweek	1	30.42	<.0001	
lweek*Treatment_Grou	1	0.18	0.6676	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	29.5748	25.9340	33.2156	29.5748	1.8576	0.05	25.9340	33.2156	253.48	<.0001	
Intercept in control group	33.1240	28.9392	37.3088	33.1240	2.1352	0.05	28.9392	37.3088	240.67	<.0001	
Slope in augmentation group	-9.0623	-12.1317	-5.9928	-9.0623	1.5661	0.05	-12.1317	-5.9928	33.48	<.0001	
Slope in control group	-9.9846	-12.8542	-7.1149	-9.9846	1.4642	0.05	-12.8542	-7.1149	46.50	<.0001	
Difference in intercepts	-3.5492	-9.0961	1.9977	-3.5492	2.8301	0.05	-9.0961	1.9977	1.57	0.2098	
Difference in slopes	0.9223	-3.2797	5.1243	0.9223	2.1439	0.05	-3.2797	5.1243	0.19	0.6671	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	311.0146	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		34.2214	1.9296	30.4395	38.0033	17.74	<.0001	
Treatment_Group	Augmentation	-2.2712	2.5707	-7.3097	2.7672	-0.88	0.3770	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-11.5365	1.1318	-13.7547	-9.3182	-10.19	<.0001	
lweek*Treatment_Grou	Augmentation	-0.9742	1.7118	-4.3293	2.3808	-0.57	0.5693	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.77	0.3812	
lweek	1	39.77	<.0001	
lweek*Treatment_Grou	1	0.32	0.5705	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.9502	28.6210	35.2793	31.9502	1.6986	0.05	28.6210	35.2793	353.81	<.0001	
Intercept in control group	34.2214	30.4395	38.0033	34.2214	1.9296	0.05	30.4395	38.0033	314.54	<.0001	
Slope in augmentation group	-12.5107	-15.0278	-9.9936	-12.5107	1.2843	0.05	-15.0278	-9.9936	94.90	<.0001	
Slope in control group	-11.5365	-13.7547	-9.3182	-11.5365	1.1318	0.05	-13.7547	-9.3182	103.90	<.0001	
Difference in intercepts	-2.2712	-7.3097	2.7672	-2.2712	2.5707	0.05	-7.3097	2.7672	0.78	0.3770	
Difference in slopes	-0.9742	-4.3293	2.3808	-0.9742	1.7118	0.05	-4.3293	2.3808	0.32	0.5693	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	310.8592	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.3169	1.9966	29.4035	37.2302	16.69	<.0001	
Treatment_Group	Augmentation	-2.1317	2.5951	-7.2181	2.9547	-0.82	0.4114	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.4323	1.2393	-12.8613	-8.0032	-8.42	<.0001	
lweek*Treatment_Grou	Augmentation	-1.0334	1.7051	-4.3754	2.3087	-0.61	0.5445	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.66	0.4155	
lweek	1	38.32	<.0001	
lweek*Treatment_Grou	1	0.36	0.5459	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.1851	27.9360	34.4343	31.1851	1.6578	0.05	27.9360	34.4343	353.88	<.0001	
Intercept in control group	33.3169	29.4035	37.2302	33.3169	1.9966	0.05	29.4035	37.2302	278.44	<.0001	
Slope in augmentation group	-11.4656	-13.7610	-9.1703	-11.4656	1.1711	0.05	-13.7610	-9.1703	95.85	<.0001	
Slope in control group	-10.4323	-12.8613	-8.0032	-10.4323	1.2393	0.05	-12.8613	-8.0032	70.86	<.0001	
Difference in intercepts	-2.1317	-7.2181	2.9547	-2.1317	2.5951	0.05	-7.2181	2.9547	0.67	0.4114	
Difference in slopes	-1.0334	-4.3754	2.3087	-1.0334	1.7051	0.05	-4.3754	2.3087	0.37	0.5445	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.7059	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		33.3209	2.0297	29.3427	37.2990	16.42	<.0001	
Treatment_Group	Augmentation	-3.7346	2.8260	-9.2735	1.8043	-1.32	0.1863	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-10.2583	1.2948	-12.7961	-7.7205	-7.92	<.0001	
lweek*Treatment_Grou	Augmentation	1.2136	2.0670	-2.8378	5.2649	0.59	0.5571	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	1.69	0.1941	
lweek	1	31.58	<.0001	
lweek*Treatment_Grou	1	0.34	0.5585	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	29.5863	25.7322	33.4403	29.5863	1.9664	0.05	25.7322	33.4403	226.38	<.0001	
Intercept in control group	33.3209	29.3427	37.2990	33.3209	2.0297	0.05	29.3427	37.2990	269.50	<.0001	
Slope in augmentation group	-9.0447	-12.2027	-5.8868	-9.0447	1.6112	0.05	-12.2027	-5.8868	31.51	<.0001	
Slope in control group	-10.2583	-12.7961	-7.7205	-10.2583	1.2948	0.05	-12.7961	-7.7205	62.77	<.0001	
Difference in intercepts	-3.7346	-9.2735	1.8043	-3.7346	2.8260	0.05	-9.2735	1.8043	1.75	0.1863	
Difference in slopes	1.2136	-2.8378	5.2649	1.2136	2.0670	0.05	-2.8378	5.2649	0.34	0.5571	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.626231	7.310391	7.999245	1213.6	0.094229	0.087617	0.991314	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-2.836606	2.828294	-8.38549	2.712282	1213.6	-3.734589	-1.315427	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-1.00	0.3161	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	1.263784	3.645166	5.035328	118.08	0.381372	0.288040	0.972002	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-0.104608	2.243954	-4.54822	4.339001	118.08	-2.255577	1.213585	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-0.05	0.9629	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.726454	3.055294	3.854393	209.39	0.261546	0.214786	0.978973	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	30.657140	1.963261	26.78685	34.52743	209.39	29.574827	31.950382	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	15.62	<.0001	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.108691	4.255098	4.374658	12049	0.028098	0.027492	0.997258	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	33.493745	2.091568	29.39394	37.59356	12049	33.123982	34.221384	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	16.01	<.0001	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	1.543166	1.810911	3.508393	38.446	0.937364	0.508743	0.951589	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-10.635247	1.873071	-14.4256	-6.84486	38.446	-12.517137	-9.044720	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-5.68	<.0001	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.213852	1.834255	2.069493	696.56	0.128247	0.116203	0.988513	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-10.530639	1.438573	-13.3551	-7.70618	696.56	-11.536454	-9.984558	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-7.32	<.0001	

Model Information	
Data Set	WORK.AUGMENT	
Method	FCS	
Number of Imputations	10	
Number of Burn-in Iterations	20	
Seed for random number generator	67380298	

FCS Model Specification	
Method	Imputed Variables	
Regression	HD_t0 HD_t1 HD_t2 HD_t3 HD_t4 HD_t5 HD_t6	
Discriminant Function	Treatment_Group	

Missing Data Patterns	
Group	Treatment_Group	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	Freq	Percent	
											
1	X	X	X	X	X	X	X	X	35	70.00	
2	X	X	X	X	X	X	X	.	2	4.00	
3	X	X	X	X	X	X	.	X	1	2.00	
4	X	X	X	X	X	X	.	.	4	8.00	
5	X	X	X	X	X	.	X	X	1	2.00	
6	X	X	X	X	.	.	.	.	2	4.00	
7	X	X	X	.	.	X	X	X	1	2.00	
8	X	X	X	.	.	.	.	.	4	8.00	

Missing Data Patterns	
Group	Group Means	
	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	
1	30.285714	25.257143	20.028571	17.057143	15.142857	12.085714	10.628571	
2	29.500000	22.500000	20.000000	21.000000	21.000000	21.500000	.	
3	39.000000	28.000000	10.000000	8.000000	11.000000	.	4.000000	
4	30.000000	23.000000	25.000000	26.250000	28.250000	.	.	
5	24.000000	19.000000	17.000000	11.000000	.	9.000000	5.000000	
6	22.500000	14.500000	8.000000	.	.	.	.	
7	43.000000	32.000000	.	.	19.000000	11.000000	10.000000	
8	29.250000	25.750000	.	.	.	.	.	

MNAR Adjustments to Imputed Values	
Imputed
Variable	Observations	Shift	
HD_t2	Treatment_Group = Control	2.0000	
	Treatment_Group = Augmentation	-0.2000	
HD_t3	Treatment_Group = Control	2.0000	
	Treatment_Group = Augmentation	-0.2000	
HD_t4	Treatment_Group = Control	2.0000	
	Treatment_Group = Augmentation	-0.2000	
HD_t5	Treatment_Group = Control	2.0000	
	Treatment_Group = Augmentation	-0.2000	
HD_t6	Treatment_Group = Control	2.0000	
	Treatment_Group = Augmentation	-0.2000	

Variance Information	
Variable	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
HD_t2	0.167174	1.395662	1.579553	39.174	0.131759	0.119069	0.988233	
HD_t3	0.218368	1.934120	2.174325	39.657	0.124193	0.112876	0.988838	
HD_t4	0.247674	2.204580	2.477021	39.696	0.123580	0.112370	0.988888	
HD_t5	0.394541	2.097954	2.531949	34.627	0.206866	0.176765	0.982631	
HD_t6	0.610211	2.041691	2.712924	28.568	0.328763	0.257453	0.974901	

Parameter Estimates	
Variable	Mean	Std Error	95% Confidence Limits	DF	Minimum	Maximum	Mu0	t for H0:
Mean=Mu0	Pr > |t|	
HD_t2	20.174367	1.256803	17.63261	22.71613	39.174	19.513024	20.756923	0	16.05	<.0001	
HD_t3	17.808045	1.474559	14.82704	20.78904	39.657	16.789660	18.337645	0	12.08	<.0001	
HD_t4	16.354654	1.573855	13.17301	19.53629	39.696	15.240376	17.019976	0	10.39	<.0001	
HD_t5	13.530419	1.591210	10.29885	16.76199	34.627	12.380803	14.324873	0	8.50	<.0001	
HD_t6	12.103731	1.647096	8.73283	15.47463	28.568	10.806118	13.238164	0	7.35	<.0001	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	314.4962	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.4027	2.4472	26.6062	36.1993	12.83	<.0001	
Treatment_Group	Augmentation	-0.1608	3.0202	-6.0803	5.7586	-0.05	0.9575	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-7.5485	2.2774	-12.0122	-3.0848	-3.31	0.0009	
lweek*Treatment_Grou	Augmentation	-3.9852	2.6739	-9.2259	1.2554	-1.49	0.1361	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.00	0.9575	
lweek	1	25.22	<.0001	
lweek*Treatment_Grou	1	2.13	0.1447	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.2419	27.7729	34.7109	31.2419	1.7699	0.05	27.7729	34.7109	311.58	<.0001	
Intercept in control group	31.4027	26.6062	36.1993	31.4027	2.4472	0.05	26.6062	36.1993	164.66	<.0001	
Slope in augmentation group	-11.5337	-14.2796	-8.7878	-11.5337	1.4010	0.05	-14.2796	-8.7878	67.77	<.0001	
Slope in control group	-7.5485	-12.0122	-3.0848	-7.5485	2.2774	0.05	-12.0122	-3.0848	10.99	0.0009	
Difference in intercepts	-0.1608	-6.0803	5.7586	-0.1608	3.0202	0.05	-6.0803	5.7586	0.00	0.9575	
Difference in slopes	-3.9852	-9.2259	1.2554	-3.9852	2.6739	0.05	-9.2259	1.2554	2.22	0.1361	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	313.7272	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.0711	2.6607	25.8563	36.2859	11.68	<.0001	
Treatment_Group	Augmentation	0.9227	3.1341	-5.2201	7.0655	0.29	0.7684	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-7.3592	2.6738	-12.5998	-2.1187	-2.75	0.0059	
lweek*Treatment_Grou	Augmentation	-4.9253	2.9495	-10.7062	0.8556	-1.67	0.0949	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.09	0.7693	
lweek	1	23.75	<.0001	
lweek*Treatment_Grou	1	2.64	0.1042	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.9938	28.7474	35.2402	31.9938	1.6564	0.05	28.7474	35.2402	373.09	<.0001	
Intercept in control group	31.0711	25.8563	36.2859	31.0711	2.6607	0.05	25.8563	36.2859	136.37	<.0001	
Slope in augmentation group	-12.2845	-14.7250	-9.8441	-12.2845	1.2452	0.05	-14.7250	-9.8441	97.33	<.0001	
Slope in control group	-7.3592	-12.5998	-2.1187	-7.3592	2.6738	0.05	-12.5998	-2.1187	7.58	0.0059	
Difference in intercepts	0.9227	-5.2201	7.0655	0.9227	3.1341	0.05	-5.2201	7.0655	0.09	0.7684	
Difference in slopes	-4.9253	-10.7062	0.8556	-4.9253	2.9495	0.05	-10.7062	0.8556	2.79	0.0949	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	311.8345	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		32.1039	2.2894	27.6168	36.5910	14.02	<.0001	
Treatment_Group	Augmentation	-0.1927	2.7784	-5.6383	5.2529	-0.07	0.9447	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-8.6877	1.8227	-12.2602	-5.1153	-4.77	<.0001	
lweek*Treatment_Grou	Augmentation	-3.6461	2.1590	-7.8776	0.5853	-1.69	0.0912	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.00	0.9448	
lweek	1	32.90	<.0001	
lweek*Treatment_Grou	1	2.70	0.1005	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.9112	28.8256	34.9968	31.9112	1.5743	0.05	28.8256	34.9968	410.87	<.0001	
Intercept in control group	32.1039	27.6168	36.5910	32.1039	2.2894	0.05	27.6168	36.5910	196.65	<.0001	
Slope in augmentation group	-12.3339	-14.6017	-10.0661	-12.3339	1.1571	0.05	-14.6017	-10.0661	113.63	<.0001	
Slope in control group	-8.6877	-12.2602	-5.1153	-8.6877	1.8227	0.05	-12.2602	-5.1153	22.72	<.0001	
Difference in intercepts	-0.1927	-5.6383	5.2529	-0.1927	2.7784	0.05	-5.6383	5.2529	0.00	0.9447	
Difference in slopes	-3.6461	-7.8776	0.5853	-3.6461	2.1590	0.05	-7.8776	0.5853	2.85	0.0912	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	314.4813	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		32.4186	2.2822	27.9455	36.8917	14.20	<.0001	
Treatment_Group	Augmentation	0.0332	2.7889	-5.4328	5.4993	0.01	0.9905	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-8.8642	1.7825	-12.3579	-5.3705	-4.97	<.0001	
lweek*Treatment_Grou	Augmentation	-4.4108	2.2429	-8.8068	-0.0149	-1.97	0.0492	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.00	0.9905	
lweek	1	32.96	<.0001	
lweek*Treatment_Grou	1	3.59	0.0580	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	32.4519	29.3103	35.5934	32.4519	1.6029	0.05	29.3103	35.5934	409.91	<.0001	
Intercept in control group	32.4186	27.9455	36.8917	32.4186	2.2822	0.05	27.9455	36.8917	201.78	<.0001	
Slope in augmentation group	-13.2750	-15.9431	-10.6069	-13.2750	1.3613	0.05	-15.9431	-10.6069	95.10	<.0001	
Slope in control group	-8.8642	-12.3579	-5.3705	-8.8642	1.7825	0.05	-12.3579	-5.3705	24.73	<.0001	
Difference in intercepts	0.0332	-5.4328	5.4993	0.0332	2.7889	0.05	-5.4328	5.4993	0.00	0.9905	
Difference in slopes	-4.4108	-8.8068	-0.0149	-4.4108	2.2429	0.05	-8.8068	-0.0149	3.87	0.0492	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	314.4277	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.5845	2.3870	26.9062	36.2629	13.23	<.0001	
Treatment_Group	Augmentation	-0.0853	2.8807	-5.7313	5.5608	-0.03	0.9764	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-7.8183	2.0995	-11.9332	-3.7035	-3.72	0.0002	
lweek*Treatment_Grou	Augmentation	-3.9898	2.4194	-8.7317	0.7520	-1.65	0.0991	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.00	0.9764	
lweek	1	28.45	<.0001	
lweek*Treatment_Grou	1	2.58	0.1082	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.4993	28.3384	34.6601	31.4993	1.6127	0.05	28.3384	34.6601	381.49	<.0001	
Intercept in control group	31.5845	26.9062	36.2629	31.5845	2.3870	0.05	26.9062	36.2629	175.09	<.0001	
Slope in augmentation group	-11.8081	-14.1646	-9.4516	-11.8081	1.2023	0.05	-14.1646	-9.4516	96.46	<.0001	
Slope in control group	-7.8183	-11.9332	-3.7035	-7.8183	2.0995	0.05	-11.9332	-3.7035	13.87	0.0002	
Difference in intercepts	-0.0853	-5.7313	5.5608	-0.0853	2.8807	0.05	-5.7313	5.5608	0.00	0.9764	
Difference in slopes	-3.9898	-8.7317	0.7520	-3.9898	2.4194	0.05	-8.7317	0.7520	2.72	0.0991	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	314.3686	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.9058	2.3339	27.3314	36.4801	13.67	<.0001	
Treatment_Group	Augmentation	-0.5866	2.8757	-6.2229	5.0497	-0.20	0.8384	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-8.1956	1.9492	-12.0159	-4.3752	-4.20	<.0001	
lweek*Treatment_Grou	Augmentation	-3.3294	2.2924	-7.8224	1.1637	-1.45	0.1464	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.04	0.8384	
lweek	1	29.70	<.0001	
lweek*Treatment_Grou	1	2.02	0.1549	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.3191	28.0263	34.6120	31.3191	1.6801	0.05	28.0263	34.6120	347.52	<.0001	
Intercept in control group	31.9058	27.3314	36.4801	31.9058	2.3339	0.05	27.3314	36.4801	186.88	<.0001	
Slope in augmentation group	-11.5250	-13.8898	-9.1602	-11.5250	1.2066	0.05	-13.8898	-9.1602	91.24	<.0001	
Slope in control group	-8.1956	-12.0159	-4.3752	-8.1956	1.9492	0.05	-12.0159	-4.3752	17.68	<.0001	
Difference in intercepts	-0.5866	-6.2229	5.0497	-0.5866	2.8757	0.05	-6.2229	5.0497	0.04	0.8384	
Difference in slopes	-3.3294	-7.8224	1.1637	-3.3294	2.2924	0.05	-7.8224	1.1637	2.11	0.1464	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	316.2721	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.6839	2.4181	26.9445	36.4232	13.10	<.0001	
Treatment_Group	Augmentation	-0.7087	2.9599	-6.5100	5.0927	-0.24	0.8108	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-7.8087	2.1559	-12.0342	-3.5832	-3.62	0.0003	
lweek*Treatment_Grou	Augmentation	-3.2919	2.5408	-8.2717	1.6880	-1.30	0.1951	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.06	0.8111	
lweek	1	26.08	<.0001	
lweek*Treatment_Grou	1	1.63	0.2024	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.9752	27.6295	34.3209	30.9752	1.7070	0.05	27.6295	34.3209	329.26	<.0001	
Intercept in control group	31.6839	26.9445	36.4232	31.6839	2.4181	0.05	26.9445	36.4232	171.68	<.0001	
Slope in augmentation group	-11.1006	-13.7357	-8.4655	-11.1006	1.3445	0.05	-13.7357	-8.4655	68.17	<.0001	
Slope in control group	-7.8087	-12.0342	-3.5832	-7.8087	2.1559	0.05	-12.0342	-3.5832	13.12	0.0003	
Difference in intercepts	-0.7087	-6.5100	5.0927	-0.7087	2.9599	0.05	-6.5100	5.0927	0.06	0.8108	
Difference in slopes	-3.2919	-8.2717	1.6880	-3.2919	2.5408	0.05	-8.2717	1.6880	1.68	0.1951	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	314.2401	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.4210	2.4471	26.6248	36.2172	12.84	<.0001	
Treatment_Group	Augmentation	-0.8761	2.9715	-6.7001	4.9480	-0.29	0.7681	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-7.5192	2.2315	-11.8929	-3.1455	-3.37	0.0008	
lweek*Treatment_Grou	Augmentation	-3.0544	2.5628	-8.0774	1.9686	-1.19	0.2333	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.09	0.7684	
lweek	1	25.03	<.0001	
lweek*Treatment_Grou	1	1.38	0.2398	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	30.5450	27.2409	33.8490	30.5450	1.6858	0.05	27.2409	33.8490	328.31	<.0001	
Intercept in control group	31.4210	26.6248	36.2172	31.4210	2.4471	0.05	26.6248	36.2172	164.87	<.0001	
Slope in augmentation group	-10.5737	-13.0437	-8.1036	-10.5737	1.2603	0.05	-13.0437	-8.1036	70.39	<.0001	
Slope in control group	-7.5192	-11.8929	-3.1455	-7.5192	2.2315	0.05	-11.8929	-3.1455	11.35	0.0008	
Difference in intercepts	-0.8761	-6.7001	4.9480	-0.8761	2.9715	0.05	-6.7001	4.9480	0.09	0.7681	
Difference in slopes	-3.0544	-8.0774	1.9686	-3.0544	2.5628	0.05	-8.0774	1.9686	1.42	0.2333	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.7688	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		32.1478	2.2402	27.7570	36.5385	14.35	<.0001	
Treatment_Group	Augmentation	-0.8407	2.7652	-6.2605	4.5791	-0.30	0.7611	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-8.6843	1.8068	-12.2256	-5.1431	-4.81	<.0001	
lweek*Treatment_Grou	Augmentation	-3.0513	2.1383	-7.2422	1.1397	-1.43	0.1536	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.09	0.7613	
lweek	1	32.55	<.0001	
lweek*Treatment_Grou	1	1.96	0.1619	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.3071	28.1298	34.4843	31.3071	1.6211	0.05	28.1298	34.4843	372.97	<.0001	
Intercept in control group	32.1478	27.7570	36.5385	32.1478	2.2402	0.05	27.7570	36.5385	205.93	<.0001	
Slope in augmentation group	-11.7356	-13.9769	-9.4943	-11.7356	1.1435	0.05	-13.9769	-9.4943	105.32	<.0001	
Slope in control group	-8.6843	-12.2256	-5.1431	-8.6843	1.8068	0.05	-12.2256	-5.1431	23.10	<.0001	
Difference in intercepts	-0.8407	-6.2605	4.5791	-0.8407	2.7652	0.05	-6.2605	4.5791	0.09	0.7611	
Difference in slopes	-3.0513	-7.2422	1.1397	-3.0513	2.1383	0.05	-7.2422	1.1397	2.04	0.1536	

Model Information	
Data Set	WORK.LONGMI	
Distribution	Normal	
Link Function	Identity	
Dependent Variable	hamd	

Number of Observations Read	300	
Number of Observations Used	300	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	6	1 2 3 4 5 6	

Parameter Information	
Parameter	Effect	Treatment_Group	
Prm1	Intercept		
Prm2	Treatment_Group	Augmentation	
Prm3	Treatment_Group	Control	
Prm4	lweek		
Prm5	lweek*Treatment_Grou	Augmentation	
Prm6	lweek*Treatment_Grou	Control	

Algorithm converged.	

GEE Model Information	
Correlation Structure	AR(1)	
Within-Subject Effect	week (6 levels)	
Subject Effect	id (50 levels)	
Number of Clusters	50	
Correlation Matrix Dimension	6	
Maximum Cluster Size	6	
Minimum Cluster Size	6	

Algorithm converged.	

GEE Fit Criteria	
QIC	312.7954	
QICu	304.0000	

Analysis Of GEE Parameter Estimates	
Empirical Standard Error Estimates	
Parameter		Estimate	Standard Error	95% Confidence Limits	Z	Pr > |Z|	
Intercept		31.9362	2.2698	27.4874	36.3850	14.07	<.0001	
Treatment_Group	Augmentation	-0.6427	2.8221	-6.1740	4.8886	-0.23	0.8199	
Treatment_Group	Control	0.0000	0.0000	0.0000	0.0000	.	.	
lweek		-8.4127	1.8703	-12.0785	-4.7469	-4.50	<.0001	
lweek*Treatment_Grou	Augmentation	-3.2559	2.2271	-7.6210	1.1093	-1.46	0.1438	
lweek*Treatment_Grou	Control	0.0000	0.0000	0.0000	0.0000	.	.	

Score Statistics For Type 3 GEE Analysis	
Source	DF	Chi-Square	Pr > ChiSq	
Treatment_Group	1	0.05	0.8199	
lweek	1	31.01	<.0001	
lweek*Treatment_Grou	1	2.05	0.1522	

Contrast Estimate Results	
Label	Mean Estimate	Mean	L'Beta Estimate	Standard Error	Alpha	L'Beta	Chi-Square	Pr > ChiSq	
		Confidence Limits				Confidence Limits			
Intercept in augmentation group	31.2935	28.0067	34.5804	31.2935	1.6770	0.05	28.0067	34.5804	348.21	<.0001	
Intercept in control group	31.9362	27.4874	36.3850	31.9362	2.2698	0.05	27.4874	36.3850	197.96	<.0001	
Slope in augmentation group	-11.6686	-14.0385	-9.2987	-11.6686	1.2091	0.05	-14.0385	-9.2987	93.13	<.0001	
Slope in control group	-8.4127	-12.0785	-4.7469	-8.4127	1.8703	0.05	-12.0785	-4.7469	20.23	<.0001	
Difference in intercepts	-0.6427	-6.1740	4.8886	-0.6427	2.8221	0.05	-6.1740	4.8886	0.05	0.8199	
Difference in slopes	-3.2559	-7.6210	1.1093	-3.2559	2.2271	0.05	-7.6210	1.1093	2.14	0.1438	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.296881	8.421199	8.747768	6457.8	0.038779	0.037630	0.996251	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-0.313752	2.957663	-6.11175	5.484246	6457.8	-0.876050	0.922712	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-0.11	0.9155	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.390371	5.920499	6.349908	1968	0.072529	0.068570	0.993190	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-3.694006	2.519902	-8.63596	1.247951	1968	-4.925288	-3.051262	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-1.47	0.1428	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.296035	2.754318	3.079956	805.12	0.118228	0.107941	0.989321	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	31.453797	1.754980	28.00892	34.89867	805.12	30.544964	32.451858	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	17.92	<.0001	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.167541	5.666881	5.851176	9072	0.032521	0.031711	0.996839	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	31.767550	2.418920	27.02592	36.50918	9072	31.071092	32.418628	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	13.13	<.0001	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.539338	1.577203	2.170475	120.46	0.376154	0.285109	0.972279	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-11.783865	1.473253	-14.7007	-8.86704	120.46	-13.275022	-10.573654	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-8.00	<.0001	

Model Information	
Data Set	WORK.ESTIMATES	
Number of Imputations	10	

Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
MeanEstimate	0.303456	4.343296	4.677098	1766.9	0.076854	0.072419	0.992810	

Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
MeanEstimate	-8.089860	2.162660	-12.3315	-3.84822	1766.9	-8.864187	-7.359243	

Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
MeanEstimate	0	-3.74	0.0002