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Biostatistics (Oxford, England)|October 20, 2009
Varying-coefficient models for longitudinal processes with continuous-time informative dropoutLi Su, Joseph W HoganStatistical Methods in Medical Research|January 30, 2004
Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studiesJoseph W Hogan, Tony LancasterBiometrics|January 15, 2019
Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and deathLiangyuan Hu, Joseph W HoganThe Annals of Applied Statistics|May 3, 2016
HIV DYNAMICS AND NATURAL HISTORY STUDIES: JOINT MODELING WITH DOUBLY INTERVAL-CENSORED EVENT TIME AND INFREQUENT LONGITUDINAL DATALi Su, Joseph W HoganStatistics in Medicine|March 21, 2008
Bayesian semiparametric regression for longitudinal binary processes with missing dataLi Su, Joseph W HoganBiostatistics (Oxford, England)|August 23, 2003
A hierarchical Bayesian approach to modeling embryo implantation following in vitro fertilizationVanja Dukic, Joseph W HoganStatistical Methods in Medical Research|November 20, 2020
Unifying instrumental variable and inverse probability weighting approaches for inference of causal treatment effect and unmeasured confounding in observational studiesTao Liu, Joseph W HoganStatistical Methods in Medical Research|April 18, 2006
Estimating causal effects from multiple cycle data in studies of in vitro fertilizationJoseph W Hogan, Daniel O ScharfsteinStatistics in Medicine|April 30, 2004
Handling drop-out in longitudinal studiesJoseph W Hogan, Jason Roy, Christina KorkontzelouBiometrics|December 21, 2004
Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropoutJoseph W Hogan, Xihong Lin, Benjamin HermanPageof 31