40 citations · 151 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
Average treatment effects in the presence of unknown interference
Fredrik Sävje, Peter M. Aronow, Michael G. Hudgens
We investigate large-sample properties of treatment effect estimators under unknown interference in randomized experiments. The inferential target is a generalization of the averag…
The Calculus of M-estimation in R with geex
Bradley C. Saul, Michael G. Hudgens
M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and co…
Upstream Causes of Downstream Effects
Bradley C. Saul, Michael G. Hudgens, Michael A. Mallin
The United States Environmental Protection Agency considers nutrient pollution in stream ecosystems one of the U.S. most pressing environmental challenges. But limited independent…