23 citations · 36 across the 4 of their papers we have counts for
4 papers
Inverse Probability Weighted Estimators of Vaccine Effects Accommodating Partial Interference and Censoring
Sujatro Chakladar, Michael G. Hudgens, M. Elizabeth Halloran +3
Estimating population-level effects of a vaccine is challenging because there may be interference, i.e., the outcome of one individual may depend on the vaccination status of anoth…
Doubly Robust Estimation in Observational Studies with Partial Interference
Lan Liu, Michael G. Hudgens, Bradley Saul +3
Interference occurs when the treatment (or exposure) of one individual affects the outcomes of others. In some settings it may be reasonable to assume individuals can be partitione…
Randomization inference with general interference and censoring
Wen Wei Loh, Michael G. Hudgens, John D. Clemens +2
Interference occurs between individuals when the treatment (or exposure) of one individual affects the outcome of another individual. Previous work on causal inference methods in t…
Causal Inference from Observational Studies with Clustered Interference
Brian G. Barkley, Michael G. Hudgens, John D. Clemens +2
Inferring causal effects from an observational study is challenging because participants are not randomized to treatment. Observational studies in infectious disease research prese…