258 citations · 1.1k across the 71 of their papers we have counts for
75 papers
Randomization inference for treatment effects on survival outcomes
Lucy D'Agostino McGowan, Joseph Rigdon, Xinran Li +1
The log-rank test and Kaplan--Meier plot are standard tools for analyzing time-to-event data in randomized clinical trials, yet neither provides a summary of the magnitude of the t…
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…
RobustIV and controlfunctionIV: Causal Inference for Linear and Nonlinear Models with Invalid Instrumental Variables
Taehyeon Koo, Youjin Lee, Dylan S. Small +1
We present R software packages RobustIV and controlfunctionIV for causal inference with possibly invalid instrumental variables. RobustIV focuses on the linear outcome model. It im…
Model-robust and efficient covariate adjustment for cluster-randomized experiments
Bingkai Wang, Chan Park, Dylan S. Small +1
Cluster-randomized experiments are increasingly used to evaluate interventions in routine practice conditions, and researchers often adopt model-based methods with covariate adjust…
Structural mean models for instrumented difference-in-differences
Tat-Thang Vo, Ting Ye, Ashkan Ertefaie +5
In the standard difference-in-differences research design, the parallel trends assumption may be violated when the relationship between the exposure trend and the outcome trend is…
Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design
Bingkai Wang, Suzanne M. Dufault, Dylan S. Small +1
In 2019, the World Health Organization identified dengue as one of the top ten global health threats. For the control of dengue, the Applying Wolbachia to Eliminate Dengue (AWED) s…