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Fan Li, PhD

Assistant Professor of Biostatistics

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Selected Publications

Impact of Marital Stress on 1-Year Health Outcomes Among Young Adults With Acute Myocardial Infarction.Zhu C, Dreyer RP, Li F, Spatz ES, Caraballo-Cordovez C, Mahajan S, Raparelli V, Leifheit EC, Lu Y, Krumholz HM, Spertus JA, D'Onofrio G, Pilote L, Lichtman JH. Impact of Marital Stress on 1-Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. J Am Heart Assoc 2023, e030031. PMID: 37589125, DOI: 10.1161/JAHA.123.030031.
Maximin optimal cluster randomized designs for assessing treatment effect heterogeneityRyan M, Esserman D, Li F. Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity Statistics In Medicine 2023 PMID: 37339777, DOI: 10.1002/sim.9830.
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variancesTong G, Taljaard M, Li F. Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances Statistics In Medicine 2023 PMID: 37316956, DOI: 10.1002/sim.9811.
Correction: Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneityTong J, Li F, Harhay M, Tong G. Correction: Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity BMC Medical Research Methodology 2023, 23: 135. PMID: 37286955, PMCID: PMC10246095, DOI: 10.1186/s12874-023-01932-6.
Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorial.Ouyang Y, Hemming K, Li F, Taljaard M. Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorial. International Journal Of Epidemiology 2023 PMID: 37196320, DOI: 10.1093/ije/dyad062.
ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residualsMeng C, Ryan M, Rathouz P, Turner E, Preisser J, Li F. ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals Computer Methods And Programs In Biomedicine 2023, 237: 107567. PMID: 37207384, DOI: 10.1016/j.cmpb.2023.107567.
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemiaBlette B, Granholm A, Li F, Shankar-Hari M, Lange T, Munch M, Møller M, Perner A, Harhay M. Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia Scientific Reports 2023, 13: 6570. PMID: 37085591, PMCID: PMC10120498, DOI: 10.1038/s41598-023-33425-3.
Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcomeZhu A, Mitra N, Hemming K, Harhay M, Li F. Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcome Biometrical Journal 2023, e2200135. PMID: 37035941, DOI: 10.1002/bimj.202200135.
Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneityTong J, Li F, Harhay M, Tong G. Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity BMC Medical Research Methodology 2023, 23: 85. PMID: 37024809, PMCID: PMC10077680, DOI: 10.1186/s12874-023-01887-8.
Accounting for complex intracluster correlations in longitudinal cluster randomized trials: a case study in malaria vector controlOuyang Y, Kulkarni M, Protopopoff N, Li F, Taljaard M. Accounting for complex intracluster correlations in longitudinal cluster randomized trials: a case study in malaria vector control BMC Medical Research Methodology 2023, 23: 64. PMID: 36932347, PMCID: PMC10021932, DOI: 10.1186/s12874-023-01871-2.
A scoping review described diversity in methods of randomization and reporting of baseline balance in stepped-wedge cluster randomized trialsNevins P, Davis-Plourde K, Pereira Macedo J, Ouyang Y, Ryan M, Tong G, Wang X, Meng C, Ortiz-Reyes L, Li F, Caille A, Taljaard M. A scoping review described diversity in methods of randomization and reporting of baseline balance in stepped-wedge cluster randomized trials Journal Of Clinical Epidemiology 2023, 157: 134-145. PMID: 36931478, DOI: 10.1016/j.jclinepi.2023.03.010.
Mediation analysis in the presence of continuous exposure measurement errorCheng C, Spiegelman D, Li F. Mediation analysis in the presence of continuous exposure measurement error Statistics In Medicine 2023, 42: 1669-1686. PMID: 36869626, DOI: 10.1002/sim.9693.
A Bayesian Approach for Estimating the Survivor Average Causal Effect When Outcomes Are Truncated by Death in Cluster-Randomized TrialsTong G, Li F, Chen X, Hirani S, Newman S, Wang W, Harhay M. A Bayesian Approach for Estimating the Survivor Average Causal Effect When Outcomes Are Truncated by Death in Cluster-Randomized Trials American Journal Of Epidemiology 2023, 192: 1006-1015. PMID: 36799630, PMCID: PMC10236525, DOI: 10.1093/aje/kwad038.
Eliminating Ambiguous Treatment Effects Using EstimandsKahan B, Cro S, Li F, Harhay M. Eliminating Ambiguous Treatment Effects Using Estimands American Journal Of Epidemiology 2023, 192: 987-994. PMID: 36790803, PMCID: PMC10236519, DOI: 10.1093/aje/kwad036.
GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trialsZhang Y, Preisser J, Li F, Turner E, Toles M, Rathouz P. GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials Computer Methods And Programs In Biomedicine 2023, 230: 107362. PMID: 36709555, PMCID: PMC10037297, DOI: 10.1016/j.cmpb.2023.107362.
Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological reviewNicholls S, Al‐Jaishi A, Niznick H, Carroll K, Madani M, Peak K, Madani L, Nevins P, Adisso L, Li F, Weijer C, Mitchell S, Welch V, Quiñones A, Taljaard M. Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological review Alzheimer's & Dementia Diagnosis Assessment & Disease Monitoring 2023, 15: e12392. PMID: 36777091, PMCID: PMC9899766, DOI: 10.1002/dad2.12392.
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trialsWang X, Turner E, Li F. Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials Biometrical Journal 2022, 65: e2200113. PMID: 36567265, DOI: 10.1002/bimj.202200113.
Power analyses for stepped wedge designs with multivariate continuous outcomesDavis‐Plourde K, Taljaard M, Li F. Power analyses for stepped wedge designs with multivariate continuous outcomes Statistics In Medicine 2022, 42: 559-578. PMID: 36565050, PMCID: PMC9985483, DOI: 10.1002/sim.9632.
power swgee: GEE-based power calculations in stepped wedge cluster randomized trialsGallis J, Wang X, Rathouz P, Preisser J, Li F, Turner E. power swgee: GEE-based power calculations in stepped wedge cluster randomized trials The Stata Journal Promoting Communications On Statistics And Stata 2022, 22: 811-841. DOI: 10.1177/1536867x221140953.
power swgee: GEE-based power calculations in stepped wedge cluster randomized trialsGallis J, Wang X, Rathouz P, Preisser J, Li F, Turner E. power swgee: GEE-based power calculations in stepped wedge cluster randomized trials The Stata Journal Promoting Communications On Statistics And Stata 2022, 22: 811-841. PMID: 36968149, PMCID: PMC10035664, DOI: 10.1177/1536867x221140953.
Assessing exposure‐time treatment effect heterogeneity in stepped‐wedge cluster randomized trialsMaleyeff L, Li F, Haneuse S, Wang R. Assessing exposure‐time treatment effect heterogeneity in stepped‐wedge cluster randomized trials Biometrics 2022 PMID: 36416302, PMCID: PMC10203056, DOI: 10.1111/biom.13803.
Simulating time-to-event data subject to competing risks and clustering: A review and synthesisMeng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, DOI: 10.1177/09622802221136067.
A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trialsZhang Y, Preisser JS, Turner EL, Rathouz PJ, Toles M, Li F. A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials Statistical Methods In Medical Research 2022, 32: 71-87. PMID: 36253078, PMCID: PMC9814029, DOI: 10.1177/09622802221129861.
Generalizing the information content for stepped wedge designs: A marginal modeling approachLi F, Kasza J, Turner E, Rathouz P, Forbes A, Preisser J. Generalizing the information content for stepped wedge designs: A marginal modeling approach Scandinavian Journal Of Statistics 2022 DOI: 10.1111/sjos.12615.
Is the Product Method More Efficient Than the Difference Method for Assessing Mediation?Cheng C, Spiegelman D, Li F. Is the Product Method More Efficient Than the Difference Method for Assessing Mediation? American Journal Of Epidemiology 2022, 192: 84-92. PMID: 35921210, PMCID: PMC10144745, DOI: 10.1093/aje/kwac144.
Design and analysis of cluster randomized trials with time‐to‐event outcomes under the additive hazards mixed modelBlaha O, Esserman D, Li F. Design and analysis of cluster randomized trials with time‐to‐event outcomes under the additive hazards mixed model Statistics In Medicine 2022, 41: 4860-4885. PMID: 35908796, PMCID: PMC9588628, DOI: 10.1002/sim.9541.
Designing three-level cluster randomized trials to assess treatment effect heterogeneity.Li F, Chen X, Tian Z, Esserman D, Heagerty PJ, Wang R. Designing three-level cluster randomized trials to assess treatment effect heterogeneity. Biostatistics 2022 PMID: 35861621, DOI: 10.1093/biostatistics/kxac026.
Estimands in cluster-randomized trials: choosing analyses that answer the right questionKahan BC, Li F, Copas AJ, Harhay MO. Estimands in cluster-randomized trials: choosing analyses that answer the right question International Journal Of Epidemiology 2022, 52: 107-118. PMID: 35834775, PMCID: PMC9908044, DOI: 10.1093/ije/dyac131.
Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparisonOuyang Y, Li F, Preisser JS, Taljaard M. Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparison International Journal Of Epidemiology 2022, 51: 2000-2013. PMID: 35679584, PMCID: PMC9749719, DOI: 10.1093/ije/dyac123.
Power analysis for cluster randomized trials with continuous coprimary endpointsYang S, Moerbeek M, Taljaard M, Li F. Power analysis for cluster randomized trials with continuous coprimary endpoints Biometrics 2022, 79: 1293-1305. PMID: 35531926, DOI: 10.1111/biom.13692.
Pragmatic clinical trial design in emergency medicine: Study considerations and design typesGettel CJ, Yiadom MYAB, Bernstein SL, Grudzen CR, Nath B, Li F, Hwang U, Hess EP, Melnick ER. Pragmatic clinical trial design in emergency medicine: Study considerations and design types Academic Emergency Medicine 2022, 29: 1247-1257. PMID: 35475533, PMCID: PMC9790188, DOI: 10.1111/acem.14513.
Clustered restricted mean survival time regressionChen X, Harhay MO, Li F. Clustered restricted mean survival time regression Biometrical Journal 2022 PMID: 35593026, DOI: 10.1002/bimj.202200002.
Stepped Wedge Cluster Randomized Trials: A Methodological Overview.Li F, Wang R. Stepped Wedge Cluster Randomized Trials: A Methodological Overview. World Neurosurgery 2022, 161: 323-330. PMID: 35505551, PMCID: PMC9074087, DOI: 10.1016/j.wneu.2021.10.136.
Design and analysis of partially randomized preference trials with propensity score stratificationWang Y, Li F, Blaha O, Meng C, Esserman D. Design and analysis of partially randomized preference trials with propensity score stratification Statistical Methods In Medical Research 2022, 31: 1515-1537. PMID: 35469503, DOI: 10.1177/09622802221095673.
Blood pressure response to commonly administered antihypertensives for severe inpatient hypertensionGhazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Peixoto AJ, Wilson FP. Blood pressure response to commonly administered antihypertensives for severe inpatient hypertension PLOS ONE 2022, 17: e0265497. PMID: 35385506, PMCID: PMC8985959, DOI: 10.1371/journal.pone.0265497.
Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trialsLi F, Buchanan AL, Cole SR. Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials Journal Of The Royal Statistical Society Series C (Applied Statistics) 2022, 71: 669-697. PMID: 35968541, PMCID: PMC9367209, DOI: 10.1111/rssc.12550.
A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risksLi F, Lu W, Wang Y, Pan Z, Greene EJ, Meng G, Meng C, Blaha O, Zhao Y, Peduzzi P, Esserman D. A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks Statistical Methods In Medical Research 2022, 31: 1224-1241. PMID: 35290139, DOI: 10.1177/09622802221085080.
Finite‐sample adjustments in variance estimators for clustered competing risks regressionChen X, Li F. Finite‐sample adjustments in variance estimators for clustered competing risks regression Statistics In Medicine 2022, 41: 2645-2664. PMID: 35288959, DOI: 10.1002/sim.9375.
Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatmentGhazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Townsend R, Peixoto A, Wilson FP. Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment Journal Of Clinical Hypertension 2022, 24: 339-349. PMID: 35174627, PMCID: PMC8925013, DOI: 10.1111/jch.14431.
Constrained randomization and statistical inference for multi‐arm parallel cluster randomized controlled trialsZhou Y, Turner EL, Simmons RA, Li F. Constrained randomization and statistical inference for multi‐arm parallel cluster randomized controlled trials Statistics In Medicine 2022, 41: 1862-1883. PMID: 35146788, PMCID: PMC9007899, DOI: 10.1002/sim.9333.
Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effectsWang X, Turner EL, Li F, Wang R, Moyer J, Cook AJ, Murray DM, Heagerty PJ. Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effects Contemporary Clinical Trials 2022, 114: 106702. PMID: 35123029, PMCID: PMC8936048, DOI: 10.1016/j.cct.2022.106702.
Clarifying selection bias in cluster randomized trials.Li F, Tian Z, Bobb J, Papadogeorgou G, Li F. Clarifying selection bias in cluster randomized trials. Clinical Trials (London, England) 2022, 19: 33-41. PMID: 34894795, DOI: 10.1177/17407745211056875.
Cigarette Smoking and Risk of Different Pathologic Types of Stroke: A Systematic Review and Dose-Response Meta-AnalysisLuo J, Tang X, Li F, Wen H, Wang L, Ge S, Tang C, Xu N, Lu L. Cigarette Smoking and Risk of Different Pathologic Types of Stroke: A Systematic Review and Dose-Response Meta-Analysis Frontiers In Neurology 2022, 12: 772373. PMID: 35145466, PMCID: PMC8821532, DOI: 10.3389/fneur.2021.772373.
Sample size calculation in hierarchical 2×2 factorial trials with unequal cluster sizesTian Z, Esserman D, Tong G, Blaha O, Dziura J, Peduzzi P, Li F. Sample size calculation in hierarchical 2×2 factorial trials with unequal cluster sizes Statistics In Medicine 2022, 41: 645-664. PMID: 34978097, PMCID: PMC8962918, DOI: 10.1002/sim.9284.
Ethical considerations within pragmatic randomized controlled trials in dementia: Results from a literature surveyNicholls SG, Carroll K, Nix HP, Li F, Hey SP, Mitchell SL, Weijer C, Taljaard M. Ethical considerations within pragmatic randomized controlled trials in dementia: Results from a literature survey Alzheimer's & Dementia: Translational Research & Clinical Interventions 2022, 8: e12287. PMID: 35509502, PMCID: PMC9060321, DOI: 10.1002/trc2.12287.
A note on semiparametric efficient generalization of causal effects from randomized trials to target populationsLi F, Hong H, Stuart E. A note on semiparametric efficient generalization of causal effects from randomized trials to target populations Communication In Statistics- Theory And Methods 2021, 1-32. DOI: 10.1080/03610926.2021.2020291.
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneityTong G, Esserman D, Li F. Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity Statistics In Medicine 2021, 41: 1376-1396. PMID: 34923655, PMCID: PMC10197222, DOI: 10.1002/sim.9283.
Power considerations for generalized estimating equations analyses of four‐level cluster randomized trialsWang X, Turner EL, Preisser JS, Li F. Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials Biometrical Journal 2021, 64: 663-680. PMID: 34897793, PMCID: PMC9574475, DOI: 10.1002/bimj.202100081.
Methodological challenges in pragmatic trials in Alzheimer’s disease and related dementias: Opportunities for improvementTaljaard M, Li F, Qin B, Cui C, Zhang L, Nicholls SG, Carroll K, Mitchell SL. Methodological challenges in pragmatic trials in Alzheimer’s disease and related dementias: Opportunities for improvement Clinical Trials 2021, 19: 86-96. PMID: 34841910, PMCID: PMC8847324, DOI: 10.1177/17407745211046672.
A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation designChen X, Chang J, Spiegelman D, Li F. A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation design Statistical Methods In Medical Research 2021, 31: 404-418. PMID: 34841964, DOI: 10.1177/09622802211060514.
Estimating the natural indirect effect and the mediation proportion via the product methodCheng C, Spiegelman D, Li F. Estimating the natural indirect effect and the mediation proportion via the product method BMC Medical Research Methodology 2021, 21: 253. PMID: 34800985, PMCID: PMC8606099, DOI: 10.1186/s12874-021-01425-4.
Sample size considerations for stepped wedge designs with subclustersDavis‐Plourde K, Taljaard M, Li F. Sample size considerations for stepped wedge designs with subclusters Biometrics 2021, 79: 98-112. PMID: 34719017, PMCID: PMC9054939, DOI: 10.1111/biom.13596.
swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trialsChen J, Zhou X, Li F, Spiegelman D. swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials Computer Methods And Programs In Biomedicine 2021, 213: 106522. PMID: 34818620, PMCID: PMC8665077, DOI: 10.1016/j.cmpb.2021.106522.
Impact of complex, partially nested clustering in a three-arm individually randomized group treatment trial: A case study with the wHOPE trialTong G, Seal KH, Becker WC, Li F, Dziura JD, Peduzzi PN, Esserman DA. Impact of complex, partially nested clustering in a three-arm individually randomized group treatment trial: A case study with the wHOPE trial Clinical Trials 2021, 19: 3-13. PMID: 34693748, PMCID: PMC8847260, DOI: 10.1177/17407745211051288.
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach.Yang S, Li F, Thomas LE, Li F. Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials (London, England) 2021, 18: 570-581. PMID: 34269087, DOI: 10.1177/17407745211028588.
Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomesTian Z, Preisser JS, Esserman D, Turner EL, Rathouz PJ, Li F. Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes Biometrical Journal 2021, 64: 419-439. PMID: 34596912, PMCID: PMC9292617, DOI: 10.1002/bimj.202100112.
Estimating the causal effects of multiple intermittent treatments with application to COVID-19.Hu L, Li F, Ji J, Joshi H, Scott E. Estimating the causal effects of multiple intermittent treatments with application to COVID-19. ArXiv 2021 PMID: 34981032, PMCID: PMC8722604.
Estimating heterogeneous survival treatment effect in observational data using machine learningHu L, Ji J, Li F. Estimating heterogeneous survival treatment effect in observational data using machine learning Statistics In Medicine 2021, 40: 4691-4713. PMID: 34114252, PMCID: PMC9827499, DOI: 10.1002/sim.9090.
Nanoparticle-mediated convection-enhanced delivery of a DNA intercalator to gliomas circumvents temozolomide resistanceWang Y, Jiang Y, Wei D, Singh P, Yu Y, Lee T, Zhang L, Mandl HK, Piotrowski-Daspit AS, Chen X, Li F, Li X, Cheng Y, Josowitz A, Yang F, Zhao Y, Wang F, Zhao Z, Huttner A, Bindra RS, Xiao H, Mark Saltzman W. Nanoparticle-mediated convection-enhanced delivery of a DNA intercalator to gliomas circumvents temozolomide resistance Nature Biomedical Engineering 2021, 5: 1048-1058. PMID: 34045730, PMCID: PMC8497438, DOI: 10.1038/s41551-021-00728-7.
Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcomeLi F, Tong G. Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome Statistical Methods In Medical Research 2021, 30: 1288-1305. PMID: 33826454, PMCID: PMC9132618, DOI: 10.1177/0962280221990415.
Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncationLi F, Tong G. Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation Biometrical Journal 2021, 63: 1052-1071. PMID: 33751620, PMCID: PMC9132617, DOI: 10.1002/bimj.202000230.
Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19Nugent J, Aklilu A, Yamamoto Y, Simonov M, Li F, Biswas A, Ghazi L, Greenberg J, Mansour S, Moledina D, Wilson FP. Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19 JAMA Network Open 2021, 4: e211095. PMID: 33688965, PMCID: PMC7948062, DOI: 10.1001/jamanetworkopen.2021.1095.
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomesLi F, Yu H, Rathouz PJ, Turner EL, Preisser JS. Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes Biostatistics 2021, 23: kxaa056. PMID: 33527999, PMCID: PMC9291643, DOI: 10.1093/biostatistics/kxaa056.
Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rulesShung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.
Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trialWilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour SG, Moledina DG, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U. Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial The BMJ 2021, 372: m4786. PMID: 33461986, PMCID: PMC8034420, DOI: 10.1136/bmj.m4786.
Propensity score weighting for covariate adjustment in randomized clinical trialsZeng S, Li F, Wang R, Li F. Propensity score weighting for covariate adjustment in randomized clinical trials Statistics In Medicine 2020, 40: 842-858. PMID: 33174296, DOI: 10.1002/sim.8805.
Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trialsYang S, Li F, Starks MA, Hernandez AF, Mentz RJ, Choudhury KR. Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials Statistics In Medicine 2020, 39: 4218-4237. PMID: 32823372, PMCID: PMC7948251, DOI: 10.1002/sim.8721.
A note on the estimation and inference with quadratic inference functions for correlated outcomesYu H, Tong G, Li F. A note on the estimation and inference with quadratic inference functions for correlated outcomes Communications In Statistics - Simulation And Computation 2020, 51: 6525-6536. DOI: 10.1080/03610918.2020.1805463.
A note on the estimation and inference with quadratic inference functions for correlated outcomesYu H, Tong G, Li F. A note on the estimation and inference with quadratic inference functions for correlated outcomes Communications In Statistics - Simulation And Computation 2020, 51: 6525-6536. PMID: 36568127, PMCID: PMC9782733, DOI: 10.1080/03610918.2020.1805463.
Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overviewLi F, Hughes JP, Hemming K, Taljaard M, Melnick ER, Heagerty PJ. Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview Statistical Methods In Medical Research 2020, 30: 612-639. PMID: 32631142, PMCID: PMC7785651, DOI: 10.1177/0962280220932962.
An evaluation of quadratic inference functions for estimating intervention effects in cluster randomized trialsYu H, Li F, Turner EL. An evaluation of quadratic inference functions for estimating intervention effects in cluster randomized trials Contemporary Clinical Trials Communications 2020, 19: 100605. PMID: 32728648, PMCID: PMC7381491, DOI: 10.1016/j.conctc.2020.100605.
Statistical Considerations for Embedded Pragmatic Clinical Trials in People Living with DementiaAllore HG, Goldfeld KS, Gutman R, Li F, Monin JK, Taljaard M, Travison TG. Statistical Considerations for Embedded Pragmatic Clinical Trials in People Living with Dementia Journal Of The American Geriatrics Society 2020, 68: s68-s73. PMID: 32589276, PMCID: PMC7396162, DOI: 10.1111/jgs.16616.
xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trialsGallis JA, Li F, Turner EL. xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trials The Stata Journal Promoting Communications On Statistics And Stata 2020, 20: 363-381. PMID: 35330784, PMCID: PMC8942127, DOI: 10.1177/1536867x20931001.
Secondary analysis of case‐control association studies: Insights on weighting‐based inference motivate a new specification testLi F, Allen AS. Secondary analysis of case‐control association studies: Insights on weighting‐based inference motivate a new specification test Statistics In Medicine 2020, 39: 2869-2882. PMID: 32501597, DOI: 10.1002/sim.8579.
An evidence mapping and analysis of registered COVID-19 clinical trials in ChinaLu L, Li F, Wen H, Ge S, Zeng J, Luo W, Wang L, Tang C, Xu N. An evidence mapping and analysis of registered COVID-19 clinical trials in China BMC Medicine 2020, 18: 167. PMID: 32493331, PMCID: PMC7268588, DOI: 10.1186/s12916-020-01612-y.
Commentary: Right truncation in cluster randomized trials can attenuate the power of a marginal analysis.Li F, Harhay MO. Commentary: Right truncation in cluster randomized trials can attenuate the power of a marginal analysis. International Journal Of Epidemiology 2020, 49: 964-967. PMID: 32211886, PMCID: PMC7394942, DOI: 10.1093/ije/dyaa037.
Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structureLi F. Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure Statistics In Medicine 2019, 39: 438-455. PMID: 31797438, PMCID: PMC7027591, DOI: 10.1002/sim.8415.
Missing DataTong G, Li F, Allen A. Missing Data 2019, 1-21. DOI: 10.1007/978-3-319-52677-5_117-1.
Bayesian Estimation of Genetic Regulatory Effects in High-throughput Reporter AssaysMajoros WH, Kim YS, Barrera A, Li F, Wang X, Cunningham SJ, Johnson GD, Guo C, Lowe WL, Scholtens DM, Hayes MG, Reddy TE, Allen AS. Bayesian Estimation of Genetic Regulatory Effects in High-throughput Reporter Assays Bioinformatics 2019, 36: 331-338. PMID: 31368479, PMCID: PMC7999138, DOI: 10.1093/bioinformatics/btz545.
Properties and pitfalls of weighting as an alternative to multilevel multiple imputation in cluster randomized trials with missing binary outcomes under covariate-dependent missingnessTurner EL, Yao L, Li F, Prague M. Properties and pitfalls of weighting as an alternative to multilevel multiple imputation in cluster randomized trials with missing binary outcomes under covariate-dependent missingness Statistical Methods In Medical Research 2019, 29: 1338-1353. PMID: 31293199, DOI: 10.1177/0962280219859915.
Models for Small Area Estimation for Census TractsLogan J, Bauer C, Ke J, Xu H, Li F. Models for Small Area Estimation for Census Tracts Geographical Analysis 2019, 52: 325-350. PMID: 33041360, PMCID: PMC7546254, DOI: 10.1111/gean.12215.
Predicting the Risk of Huntington's Disease with Multiple Longitudinal Biomarkers.Li F, Li K, Li C, Luo S. Predicting the Risk of Huntington's Disease with Multiple Longitudinal Biomarkers. Journal Of Huntington's Disease 2019, 8: 323-332. PMID: 31256145, PMCID: PMC6718328, DOI: 10.3233/JHD-190345.
Addressing Extreme Propensity Scores via the Overlap Weights.Li F, Thomas LE, Li F. Addressing Extreme Propensity Scores via the Overlap Weights. American Journal Of Epidemiology 2019, 188: 250-257. PMID: 30189042, DOI: 10.1093/aje/kwy201.
cvcrand: A Package for Covariate-constrained Randomization and the Clustered Permutation Test for Cluster Randomized TrialsYu H, Li F, Gallis J, Turner E. cvcrand: A Package for Covariate-constrained Randomization and the Clustered Permutation Test for Cluster Randomized Trials The R Journal 2019, 11: 191. DOI: 10.32614/rj-2019-027.
Power and sample size requirements for GEE analyses of cluster randomized crossover trialsLi F, Forbes AB, Turner EL, Preisser JS. Power and sample size requirements for GEE analyses of cluster randomized crossover trials Statistics In Medicine 2018, 38: 636-649. PMID: 30298551, PMCID: PMC6461037, DOI: 10.1002/sim.7995.
The Uptick in Income Segregation: Real Trend or Random Sampling Variation?Logan JR, Foster A, Ke J, Li F. The Uptick in Income Segregation: Real Trend or Random Sampling Variation? American Journal Of Sociology 2018, 124: 185-222. PMID: 32713956, PMCID: PMC7382782, DOI: 10.1086/697528.
Sample size determination for GEE analyses of stepped wedge cluster randomized trialsLi F, Turner EL, Preisser JS. Sample size determination for GEE analyses of stepped wedge cluster randomized trials Biometrics 2018, 74: 1450-1458. PMID: 29921006, PMCID: PMC6461045, DOI: 10.1111/biom.12918.
Cvcrand and Cptest: Commands for Efficient Design and Analysis of Cluster Randomized Trials Using Constrained Randomization and Permutation TestsGallis JA, Li F, Yu H, Turner EL. Cvcrand and Cptest: Commands for Efficient Design and Analysis of Cluster Randomized Trials Using Constrained Randomization and Permutation Tests The Stata Journal Promoting Communications On Statistics And Stata 2018, 18: 357-378. PMID: 34413708, PMCID: PMC8372194, DOI: 10.1177/1536867x1801800204.
Optimal allocation of clusters in cohort stepped wedge designsLi F, Turner E, Preisser J. Optimal allocation of clusters in cohort stepped wedge designs Statistics & Probability Letters 2018, 137: 257-263. DOI: 10.1016/j.spl.2018.02.002.
Bayesian Word Learning in Multiple Language EnvironmentsZinszer BD, Rolotti SV, Li F, Li P. Bayesian Word Learning in Multiple Language Environments Cognitive Science 2017, 42: 439-462. PMID: 29154481, DOI: 10.1111/cogs.12567.
Genetic Polymorphisms of CFH and ARMS2 Do Not Predict Response to Antioxidants and Zinc in Patients with Age-Related Macular Degeneration Independent Statistical Evaluations of Data from the Age-Related Eye Disease StudyAssel MJ, Li F, Wang Y, Allen AS, Baggerly KA, Vickers AJ. Genetic Polymorphisms of CFH and ARMS2 Do Not Predict Response to Antioxidants and Zinc in Patients with Age-Related Macular Degeneration Independent Statistical Evaluations of Data from the Age-Related Eye Disease Study Ophthalmology 2017, 125: 391-397. PMID: 29032853, PMCID: PMC5820191, DOI: 10.1016/j.ophtha.2017.09.008.
An evaluation of constrained randomization for the design and analysis of group‐randomized trials with binary outcomesLi F, Turner EL, Heagerty PJ, Murray DM, Vollmer WM, DeLong ER. An evaluation of constrained randomization for the design and analysis of group‐randomized trials with binary outcomes Statistics In Medicine 2017, 36: 3791-3806. PMID: 28786223, PMCID: PMC5624845, DOI: 10.1002/sim.7410.
Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison.Brennan JM, Thomas L, Cohen DJ, Shahian D, Wang A, Mack MJ, Holmes DR, Edwards FH, Frankel NZ, Baron SJ, Carroll J, Thourani V, Tuzcu EM, Arnold SV, Cohn R, Maser T, Schawe B, Strong S, Stickfort A, Patrick-Lake E, Graham FL, Dai D, Li F, Matsouaka RA, O'Brien S, Li F, Pencina MJ, Peterson ED. Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison. Journal Of The American College Of Cardiology 2017, 70: 439-450. PMID: 28728688, PMCID: PMC5826727, DOI: 10.1016/j.jacc.2017.05.060.
Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis.Turner EL, Prague M, Gallis JA, Li F, Murray DM. Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis. American Journal Of Public Health 2017, 107: 1078-1086. PMID: 28520480, PMCID: PMC5463203, DOI: 10.2105/ajph.2017.303707.
Review of Recent Methodological Developments in Group-Randomized Trials: Part 1—DesignTurner EL, Li F, Gallis JA, Prague M, Murray DM. Review of Recent Methodological Developments in Group-Randomized Trials: Part 1—Design American Journal Of Public Health 2017, 107: e1-e9. PMID: 28426295, PMCID: PMC5425852, DOI: 10.2105/ajph.2017.303706.
Comparative Evaluation of a South Carolina Policy to Improve Nutrition in Child Care.Benjamin Neelon SE, Mayhew M, O'Neill JR, Neelon B, Li F, Pate RR. Comparative Evaluation of a South Carolina Policy to Improve Nutrition in Child Care. Journal Of The Academy Of Nutrition And Dietetics 2016, 116: 949-56. PMID: 26777469, DOI: 10.1016/j.jand.2015.10.026.
An evaluation of constrained randomization for the design and analysis of group‐randomized trialsLi F, Lokhnygina Y, Murray DM, Heagerty PJ, DeLong ER. An evaluation of constrained randomization for the design and analysis of group‐randomized trials Statistics In Medicine 2015, 35: 1565-1579. PMID: 26598212, PMCID: PMC4826850, DOI: 10.1002/sim.6813.
A spatiotemporal quantile regression model for emergency department expendituresNeelon B, Li F, Burgette LF, Neelon SE. A spatiotemporal quantile regression model for emergency department expenditures Statistics In Medicine 2015, 34: 2559-2575. PMID: 25782041, DOI: 10.1002/sim.6480.

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Fan Li, PhD

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