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AIDS and Behavior|September 3, 2021
Modeling the Impact of Social Determinants of Health on HIVJoseph W Hogan, Noya Galai, Wendy W DavisBiometrics|May 24, 2003
Estimating causal treatment effects from longitudinal HIV natural history studies using marginal structural modelsHyejin Ko, Joseph W Hogan, Kenneth H MayerBiostatistics (Oxford, England)|August 8, 2007
Principal stratification with predictors of compliance for randomized trials with 2 active treatmentsJason Roy, Joseph W Hogan, Bess H MarcusStatistics in Medicine|December 4, 2003
Use of incomplete post-treatment data in the analysis of viral eradication studiesDebbie M Cheng, Stephen W LagakosJournal of Environmental and Public Health|June 8, 2011
The use of mixed models for the analysis of mediated data with time-dependent predictorsEmily A Blood, Debbie M ChengBMC Medical Research Methodology|January 26, 2012
Non-linear mixed models in the analysis of mediated longitudinal data with binary outcomesEmily A Blood, Debbie M ChengCurrent Epidemiology Reports|November 18, 2015
Are all biases missing data problems?Chanelle J Howe, Lauren E Cain, Joseph W HoganAMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Selection of Clinical Text Features for Classifying Suicide AttemptsRyan S Buckland, Joseph W Hogan, Elizabeth S ChenBiometrics|September 30, 2017
Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB co-infectionLiangyuan Hu, Joseph W Hogan, Ann W Mwangi, et al.Statistics in Medicine|August 10, 2022
A flexible approach for causal inference with multiple treatments and clustered survival outcomesLiangyuan Hu, Jiayi Ji, Ronald D Ennis, et al.Pageof 31