Model Information	
Data Set	WORK.META	
Dependent Variable	CM	
Covariance Structures	Variance Components, Unstructured	
Subject Effect	id	
Group Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
Study	32	2444 KPA HGDD 90s1004 BEL-7 HGBG HGBU 302 HGAJ HGCJ 301E SOLIANO HGDT HGCQ R-0548 7 14 24 E003 12 101 204 HGAP 13 104 72 HGAD 106 114 115 8 6	
id	66	2444&14 KPA&15 HGDD&32 90s1004&1 BEL-7&13 HGBG&16 HGBU&17 302&18 HGAJ&28 HGCJ&29 HGBG&30 301E&31 SOLIANOL& HGDT&34 HGCQ&35 HGBU&36 R-0548&37 7&49 14&50 302&65 R-0548&66 24&8 E003&24 12&46 101&61 101&62 24&9 E003&25 101&63 24&10 24&11 24&12 E003&26 E003&27 12&47 12&48 101&64 204&2 HGAP&19 13&41 104&51 72&6 HGAD&21 13&42 104&52 104&53 106&54 114&56 115&58 8&39 204&3 204&4 204&5 72&7 HGAP&20 HGAD&22 HGAD&23 13&43 13&44 13&45 106&55 114&57 115&59 115&60 6&38 8&40	
dd	7	43 22 32 42 21 31 41	
Drug	4	1 2 3 4	

Dimensions	
Covariance Parameters	67	
Columns in X	13	
Columns in Z	32	
Subjects	1	
Max Obs per Subject	66	

Number of Observations	
Number of Observations Read	66	
Number of Observations Used	66	
Number of Observations Not Used	0	

Parameter Search	
CovP1	CovP2	CovP3	CovP4	CovP5	CovP6	CovP7	CovP8	CovP9	CovP10	CovP11	CovP12	CovP13	CovP14	
1.0000	1.7098	3.4341	10.3684	5.2900	5.1076	1.0721	2.8213	0.9472	0.1268	3.3948	1.6401	1.5419	0.9551	

Parameter Search	
CovP15	CovP16	CovP17	CovP18	CovP19	CovP20	CovP21	CovP22	CovP23	CovP24	CovP25	CovP26	CovP27	
5.6033	9.5220	4.7278	1.3989	2.8900	1.1135	1.2597	1.2009	0.7569	3.3200	1.6900	6.7600	4.0000	

Parameter Search	
CovP28	CovP29	CovP30	CovP31	CovP32	CovP33	CovP34	CovP35	CovP36	CovP37	CovP38	CovP39	CovP40	
0.7396	2.5769	4.4100	0.7921	0.5929	0.8100	3.8173	2.4058	1.6641	1.6129	6.7600	3.5443	3.1129	

Parameter Search	
CovP41	CovP42	CovP43	CovP44	CovP45	CovP46	CovP47	CovP48	CovP49	CovP50	CovP51	CovP52	CovP53	
4.1616	2.4582	1.6129	2.8929	4.5796	2.4465	2.8138	4.4288	1.9388	1.9051	2.6244	2.3224	2.1600	

Parameter Search	
CovP54	CovP55	CovP56	CovP57	CovP58	CovP59	CovP60	CovP61	CovP62	CovP63	CovP64	CovP65	CovP66	
2.7038	1.6900	3.1888	4.0776	3.9878	4.2436	4.3264	4.0804	4.1856	1.4928	2.1222	1.5298	5.7121	

Parameter Search	
CovP67	Res Log Like	-2 Res Log Like	
2.6896	-145.5670	291.1340	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
1	2	284.45165609	0.03151101	
2	1	280.74321406	0.01288780	
3	1	279.32074582	0.00288293	
4	1	279.02686218	0.00019693	
5	1	279.00850797	0.00000113	
6	1	279.00840726	0.00000000	

Convergence criteria met.	

Estimated R Matrix for id 2444&14	
Row	Col1	
1	1.7098	

Estimated Inv(R) Matrix for id 2444&14	
Row	Col1	
1	0.5849	

Covariance Parameter Estimates	
Cov Parm	Subject	Group	Estimate	
Study			5.6834	
UN(1,1)	id	id 2444&14	1.7098	
UN(1,1)	id	id KPA&15	3.4341	
UN(1,1)	id	id HGDD&32	10.3684	
UN(1,1)	id	id 90s1004&1	5.2900	
UN(1,1)	id	id BEL-7&13	5.1076	
UN(1,1)	id	id HGBG&16	1.0721	
UN(1,1)	id	id HGBU&17	2.8213	
UN(1,1)	id	id 302&18	0.9472	
UN(1,1)	id	id HGAJ&28	0.1268	
UN(1,1)	id	id HGCJ&29	3.3948	
UN(1,1)	id	id HGBG&30	1.6401	
UN(1,1)	id	id 301E&31	1.5419	
UN(1,1)	id	id SOLIANOL&	0.9551	
UN(1,1)	id	id HGDT&34	5.6033	
UN(1,1)	id	id HGCQ&35	9.5220	
UN(1,1)	id	id HGBU&36	4.7278	
UN(1,1)	id	id R-0548&37	1.3989	
UN(1,1)	id	id 7&49	2.8900	
UN(1,1)	id	id 14&50	1.1135	
UN(1,1)	id	id 302&65	1.2597	
UN(1,1)	id	id R-0548&66	1.2009	
UN(1,1)	id	id 24&8	0.7569	
UN(1,1)	id	id E003&24	3.3200	
UN(1,1)	id	id 12&46	1.6900	
UN(1,1)	id	id 101&61	6.7600	
UN(1,1)	id	id 101&62	4.0000	
UN(1,1)	id	id 24&9	0.7396	
UN(1,1)	id	id E003&25	2.5769	
UN(1,1)	id	id 101&63	4.4100	
UN(1,1)	id	id 24&10	0.7921	
UN(1,1)	id	id 24&11	0.5929	
UN(1,1)	id	id 24&12	0.8100	
UN(1,1)	id	id E003&26	3.8173	
UN(1,1)	id	id E003&27	2.4058	
UN(1,1)	id	id 12&47	1.6641	
UN(1,1)	id	id 12&48	1.6129	
UN(1,1)	id	id 101&64	6.7600	
UN(1,1)	id	id 204&2	3.5443	
UN(1,1)	id	id HGAP&19	3.1129	
UN(1,1)	id	id 13&41	4.1616	
UN(1,1)	id	id 104&51	2.4582	
UN(1,1)	id	id 72&6	1.6129	
UN(1,1)	id	id HGAD&21	2.8929	
UN(1,1)	id	id 13&42	4.5796	
UN(1,1)	id	id 104&52	2.4465	
UN(1,1)	id	id 104&53	2.8138	
UN(1,1)	id	id 106&54	4.4288	
UN(1,1)	id	id 114&56	1.9388	
UN(1,1)	id	id 115&58	1.9051	
UN(1,1)	id	id 8&39	2.6244	
UN(1,1)	id	id 204&3	2.3224	
UN(1,1)	id	id 204&4	2.1600	
UN(1,1)	id	id 204&5	2.7038	
UN(1,1)	id	id 72&7	1.6900	
UN(1,1)	id	id HGAP&20	3.1888	
UN(1,1)	id	id HGAD&22	4.0776	
UN(1,1)	id	id HGAD&23	3.9878	
UN(1,1)	id	id 13&43	4.2436	
UN(1,1)	id	id 13&44	4.3264	
UN(1,1)	id	id 13&45	4.0804	
UN(1,1)	id	id 106&55	4.1856	
UN(1,1)	id	id 114&57	1.4928	
UN(1,1)	id	id 115&59	2.1222	
UN(1,1)	id	id 115&60	1.5298	
UN(1,1)	id	id 6&38	5.7121	
UN(1,1)	id	id 8&40	2.6896	

Fit Statistics	
-2 Res Log Likelihood	279.0	
AIC (Smaller is Better)	281.0	
AICC (Smaller is Better)	281.1	
BIC (Smaller is Better)	282.5	

PARMS Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
1	12.13	0.0005	

Solution for Fixed Effects	
Effect	dd	Drug	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			-23.0360	6.8301	28	-3.37	0.0022	
BM			0.5827	0.1260	27	4.63	<.0001	
Drug		1	1.5396	0.9726	27	1.58	0.1251	
Drug		2	0.9928	1.0013	27	0.99	0.3302	
Drug		3	-3.7867	1.6376	27	-2.31	0.0286	
Drug		4	0	.	.	.	.	
dd	43		6.3547	1.2032	27	5.28	<.0001	
dd	22		-1.3100	1.6123	27	-0.81	0.4236	
dd	32		1.9742	1.6711	27	1.18	0.2477	
dd	42		1.7726	1.5602	27	1.14	0.2659	
dd	21		-5.1098	1.0951	27	-4.67	<.0001	
dd	31		-2.9425	0.7397	27	-3.98	0.0005	
dd	41		0	.	.	.	.	

Covariance Matrix for Fixed Effects	
Row	Effect	dd	Drug	Col1	Col2	Col3	Col4	Col5	Col6	Col7	Col8	Col9	Col10	Col11	
1	Intercept			46.6505	-0.8505	-0.01199	0.6777	5.1798		-3.0720	-1.7032	-1.9766	-1.2815	-0.2592	
2	BM			-0.8505	0.01587	-0.00766	-0.02058	-0.1094		0.04544	0.01923	0.02428	0.01154	0.000918	
3	Drug		1	-0.01199	-0.00766	0.9459	0.5722	0.5639		-0.2409	-0.1029	-0.1116	-0.1140	0.002367	
4	Drug		2	0.6777	-0.02058	0.5722	1.0025	0.6786		-0.3436	-0.1216	-0.1362	-0.1246	-0.01848	
5	Drug		3	5.1798	-0.1094	0.5639	0.6786	2.6819		-0.2910	-0.2042	-0.2165	-0.1660	0.02128	
6	Drug		4												
7	dd	43		-3.0720	0.04544	-0.2409	-0.3436	-0.2910		1.4477	0.8126	0.8330	0.7944	0.2162	
8	dd	22		-1.7032	0.01923	-0.1029	-0.1216	-0.2042		0.8126	2.5994	2.2302	2.2312	0.2074	
9	dd	32		-1.9766	0.02428	-0.1116	-0.1362	-0.2165		0.8330	2.2302	2.7925	2.2557	0.2084	
10	dd	42		-1.2815	0.01154	-0.1140	-0.1246	-0.1660		0.7944	2.2312	2.2557	2.4341	0.2069	
11	dd	21		-0.2592	0.000918	0.002367	-0.01848	0.02128		0.2162	0.2074	0.2084	0.2069	1.1992	
12	dd	31		0.3476	-0.01064	0.03332	0.04136	0.1184		0.1646	0.1844	0.1812	0.1890	0.1995	
13	dd	41													

Covariance Matrix for Fixed Effects	
Row	Col12	Col13	
1	0.3476		
2	-0.01064		
3	0.03332		
4	0.04136		
5	0.1184		
6			
7	0.1646		
8	0.1844		
9	0.1812		
10	0.1890		
11	0.1995		
12	0.5472		
13			

Solution for Random Effects	
Effect	Study	Estimate	Std Err Pred	DF	t Value	Pr > |t|	
Study	2444	-1.1318	1.3690	27	-0.83	0.4157	
Study	KPA	6.5555	1.5617	27	4.20	0.0003	
Study	HGDD	0.7967	1.9437	27	0.41	0.6851	
Study	90s1004	1.5885	1.7162	27	0.93	0.3629	
Study	BEL-7	0.8867	1.7443	27	0.51	0.6154	
Study	HGBG	-0.3830	1.0572	27	-0.36	0.7200	
Study	HGBU	-2.1642	1.2901	27	-1.68	0.1050	
Study	302	-0.2437	1.1088	27	-0.22	0.8277	
Study	HGAJ	-3.1165	0.8784	27	-3.55	0.0014	
Study	HGCJ	1.5283	1.7375	27	0.88	0.3868	
Study	301E	-3.6196	1.3382	27	-2.70	0.0117	
Study	SOLIANO	-0.09998	1.1886	27	-0.08	0.9336	
Study	HGDT	0.6025	1.7334	27	0.35	0.7308	
Study	HGCQ	0.04023	1.9137	27	0.02	0.9834	
Study	R-0548	-1.8237	1.0547	27	-1.73	0.0952	
Study	7	1.0454	1.7170	27	0.61	0.5477	
Study	14	-0.4614	1.4919	27	-0.31	0.7595	
Study	24	0.8946	1.5064	27	0.59	0.5576	
Study	E003	0.3924	1.5781	27	0.25	0.8055	
Study	12	-0.9161	1.6003	27	-0.57	0.5718	
Study	101	-0.3709	1.5633	27	-0.24	0.8142	
Study	204	-0.2542	1.2487	27	-0.20	0.8402	
Study	HGAP	-2.7281	1.4265	27	-1.91	0.0665	
Study	13	-1.6606	1.4210	27	-1.17	0.2528	
Study	104	-0.04308	1.2581	27	-0.03	0.9729	
Study	72	3.4834	1.2527	27	2.78	0.0098	
Study	HGAD	-0.6665	1.4174	27	-0.47	0.6420	
Study	106	0.2896	1.4409	27	0.20	0.8422	
Study	114	0.9210	1.2279	27	0.75	0.4597	
Study	115	-1.3342	1.1700	27	-1.14	0.2641	
Study	8	0.7911	1.4830	27	0.53	0.5981	
Study	6	1.2017	1.8271	27	0.66	0.5163	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
BM	1	27	21.40	<.0001	
Drug	3	27	4.28	0.0135	
dd	6	27	15.93	<.0001	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	Alpha	Lower	Upper	
Design effect at high dose (A vs P)	6.3547	1.2032	27	5.28	<.0001	0.05	3.8859	8.8235	
Design effect at high dose (A vs LD)	4.5820	1.5143	27	3.03	0.0054	0.05	1.4749	7.6891	
Design effect at high dose  (LD vs P)	1.7726	1.5602	27	1.14	0.2659	0.05	-1.4286	4.9738	
Design effect at medium dose (LD vs P)	4.9167	1.7254	27	2.85	0.0083	0.05	1.3764	8.4570	
Design effect at low dose (LD vs P)	3.7997	1.8395	27	2.07	0.0486	0.05	0.02538	7.5741	
High dose, ave over designs, drugs, bmean = 54.5	11.0882	0.5684	27	19.51	<.0001	0.05	9.9218	12.2545	
Medium dose, ave over designs, drugs, bmean = 54.5	7.9220	0.8570	27	9.24	<.0001	0.05	6.1637	9.6804	
Low dose, ave over designs, drugs, bmean = 54.5	5.1963	0.9198	27	5.65	<.0001	0.05	3.3091	7.0835	
High dose, design 3, ave over drugs, bmean =	14.7608	0.7624	27	19.36	<.0001	0.05	13.1966	16.3251	
High dose, design 2, ave over drugs, bmean =	10.1788	1.2996	27	7.83	<.0001	0.05	7.5123	12.8453	
High dose, design 1, ave over drugs, bmean =	8.4062	0.8732	27	9.63	<.0001	0.05	6.6144	10.1979	
Medium dose, design 2, ave over drugs, bmean =	10.3804	1.4199	27	7.31	<.0001	0.05	7.4669	13.2938	
Medium dose, design 1, ave over drugs, bmean =	5.4637	0.9702	27	5.63	<.0001	0.05	3.4731	7.4542	
Low dose, design 2, ave over drugs, bmean =	7.0961	1.3556	27	5.23	<.0001	0.05	4.3146	9.8776	
Low dose, design 1, ave over drugs, bmean =	3.2964	1.2434	27	2.65	0.0133	0.05	0.7451	5.8477	

Contrasts	
Label	Num DF	Den DF	F Value	Pr > F	
Overall design effect (A vs P) + (LD vs P)	2	27	30.18	<.0001	
Design effect at high dose (A vs P)	1	27	27.89	<.0001	
Design effect at high dose (A vs LD)	1	27	9.16	0.0054	
Design effect at high dose  (LD vs P)	1	27	1.29	0.2659	
Design effect at medium dose (LD vs P)	1	27	8.12	0.0083	
Design effect at low dose (LD vs P)	1	27	4.27	0.0486	

Least Squares Means	
Effect	Drug	Estimate	Standard Error	DF	t Value	Pr > |t|	
Drug	1	10.3892	0.9084	27	11.44	<.0001	
Drug	2	9.8424	0.8963	27	10.98	<.0001	
Drug	3	5.0629	1.3357	27	3.79	0.0008	
Drug	4	8.8496	0.9441	27	9.37	<.0001