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Journal of the American Statistical Association|December 17, 2008
Toward Causal Inference With InterferenceMichael G Hudgens, M Elizabeth HalloranCurrent Epidemiology Reports|January 31, 2017
Dependent Happenings: A Recent Methodological ReviewM Elizabeth Halloran, Michael G HudgensThe International Journal of Biostatistics|April 14, 2012
Causal inference for vaccine effects on infectiousnessM Elizabeth Halloran, Michael G HudgensStatistics in Medicine|July 20, 2017
Estimating population effects of vaccination using large, routinely collected dataM Elizabeth Halloran, Michael G HudgensJournal of the American Statistical Association|December 20, 2008
Causal Vaccine Effects on Binary Postinfection OutcomesMichael G Hudgens, M Elizabeth HalloranObservational Studies|November 1, 2023
Propensity Score in the Face of Interference: Discussion ofBo Zhang, Michael G Hudgens, M Elizabeth HalloranPharmaceutical Statistics|May 7, 2020
Estimands and inference in cluster-randomized vaccine trialsKayla W Kilpatrick, Michael G Hudgens, M Elizabeth HalloranStatistics in Medicine|July 22, 2015
A Bayesian approach to estimating causal vaccine effects on binary post-infection outcomesJincheng Zhou, Haitao Chu, Michael G Hudgens, et al.Biometrics|May 22, 2014
Assessing effects of cholera vaccination in the presence of interferenceCarolina Perez-Heydrich, Michael G Hudgens, M Elizabeth Halloran, et al.Biometrics|March 26, 2021
Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoringSujatro Chakladar, Samuel Rosin, Michael G Hudgens, et al.Pageof 44