2 citations · 2 across the 2 of their papers we have counts for
5 papers
Doubly Robust Nonparametric Instrumental Variable Estimators for Survival Outcomes
Youjin Lee, Edward H. Kennedy, Nandita Mitra
Instrumental variable (IV) methods allow us the opportunity to address unmeasured confounding in causal inference. However, most IV methods are only applicable to discrete or conti…
Two Robust Tools for Inference about Causal Effects with Invalid Instruments
Hyunseung Kang, Youjin Lee, T. Tony Cai +1
Instrumental variables have been widely used to estimate the causal effect of a treatment on an outcome. Existing confidence intervals for causal effects based on instrumental vari…
Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data
Youjin Lee, Trang Q. Nguyen, Elizabeth A. Stuart
Causal inference analyses often use existing observational data, which in many cases has some clustering of individuals. In this paper we discuss propensity score weighting methods…
Network Dependence Can Lead to Spurious Associations and Invalid Inference
Youjin Lee, Elizabeth L. Ogburn
Researchers across the health and social sciences generally assume that observations are independent, even while relying on convenience samples that draw subjects from one or a sma…
Causal inference, social networks, and chain graphs
Elizabeth L. Ogburn, Ilya Shpitser, Youjin Lee
Traditionally, statistical and causal inference on human subjects rely on the assumption that individuals are independently affected by treatments or exposures. However, recently t…