4 papers
Difference-in-differences with stochastic policy shifts of a continuous treatment
Michael Jetsupphasuk, Chenwei Fang, Didong Li +1
Treatment effects of stochastic policy shifts quantify differences in outcomes across counterfactual scenarios with varying treatment distributions. Stochastic policy shifts may be…
Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
Michael Jetsupphasuk, Didong Li, Michael G. Hudgens
Differences-in-differences (DiD) is a causal inference method for observational longitudinal data that assumes parallel expected potential outcome trajectories between treatment gr…
Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
Justin B. DeMonte, Bonnie E. Shook-Sa, Michael G. Hudgens
Observational data are frequently used to evaluate real-world vaccine effectiveness (VE). For vaccines such as those developed against COVID-19, VE may vary over calendar time beca…
Nonparametric Causal Survival Analysis with Clustered Interference
Chanhwa Lee, Donglin Zeng, Michael Emch +2
Inferring treatment effects on a survival time outcome based on data from an observational study is challenging due to the presence of censoring and possible confounding. An additi…