3 papers
stat.ME2025
A Differential Effect Approach to Partial Identification of Treatment Effects
Kan Chen, Jeffrey Zhang, Bingkai Wang +1
We consider identification and inference for the average treatment effect and heterogeneous treatment effect conditional on observable covariates in the presence of unmeasured conf…
stat.ME2025
Sensitivity Analysis for Attributable Effects in Case Studies
Kan Chen, Ting Ye, Dylan S. Small
The case study, also referred to as the case-case study design, is a valuable approach for conducting inference for treatment effects. Unlike traditional case-control studies,…
stat.ME2024
Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed
Kan Chen, Jing Cheng, M. Elizabeth Halloran +1
The attributable fraction among the exposed (\textbf{AF}), also known as the attributable risk or excess fraction among the exposed, is the proportion of disease cases among th…