3 papers
stat.ME2020
Instrumented Difference-in-Differences
Ting Ye, Ashkan Ertefaie, James Flory +2
Unmeasured confounding is a key threat to reliable causal inference based on observational studies. Motivated from two powerful natural experiment devices, the instrumental variabl…
stat.ME2018
Outcome identification in electronic health records using predictions from an enriched Dirichlet process mixture
Bret Zeldow, James Flory, Alisa Stephens-Shields +2
We propose a novel semiparametric model for the joint distribution of a continuous longitudinal outcome and the baseline covariates using an enriched Dirichlet process (EDP) prior.…
stat.ME2015
Selection bias when using instrumental variable methods to compare two treatments but more than two treatments are available
Ashkan Ertefaie, Dylan Small, James H. Flory +1
Instrumental variable (IV) methods are widely used to adjust for the bias in estimating treatment effects caused by unmeasured confounders in observational studies. In this manuscr…