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Statistics & Probability Letters|July 21, 2015
Exact Confidence Intervals in the Presence of InterferenceJoseph Rigdon, Michael G HudgensStatistics in Medicine|December 5, 2014
Randomization inference for treatment effects on a binary outcomeJoseph Rigdon, Michael G HudgensJournal of Immunological Methods|July 23, 2017
SLDAssay: A software package and web tool for analyzing limiting dilution assaysIlana M Trumble, Andrew G Allmon, Nancie M Archin, et al.Statistics in Medicine|January 17, 2003
Estimating cumulative probabilities from incomplete longitudinal binary responses with application to HIV vaccine trialsMichael G HudgensJournal of the American Statistical Association|March 25, 2014
Large sample randomization inference of causal effects in the presence of interferenceLan Liu, Michael G HudgensAmerican Journal of Epidemiology|September 3, 2016
Invited Commentary: Beware the Test-Negative DesignDaniel Westreich, Michael G HudgensBMJ Open|December 1, 2019
Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled dataJoseph Rigdon, Sanjay BasuJournal of the American Statistical Association|December 17, 2008
Toward Causal Inference With InterferenceMichael G Hudgens, M Elizabeth HalloranJournal of Statistical Software|April 16, 2021
The Calculus of M-Estimation in R with geexBradley C Saul, Michael G HudgensBiometrics|March 28, 2008
Evaluating candidate principal surrogate endpointsPeter B Gilbert, Michael G HudgensPageof 36