10 citations · 45 across the 35 of their papers we have counts for
5 papers · 1 filter
Randomization-based Z-estimation for evaluating average and individual treatment effects
Tianyi Qu, Jiangchuan Du, Xinran Li
Randomized experiments have been the gold standard for drawing causal inference. The conventional model-based approach has been one of the most popular ways for analyzing treatment…
Sensitivity Analysis for Observational Studies with Flexible Matched Designs
Xinran Li
Observational studies provide invaluable opportunities to draw causal inference, but they may suffer from biases due to pretreatment difference between treated and control units. M…
Enhanced inference for distributions and quantiles of individual treatment effects in various experiments
Zhe Chen, Xinran Li
Understanding treatment effect heterogeneity has become increasingly important in many fields. In this paper we study distributions and quantiles of individual treatment effects to…
Some theoretical foundations for the design and analysis of randomized experiments
Lei Shi, Xinran Li
Neyman[106]'s seminal work in 1923 has been a milestone in statistics over the century, which has motivated many fundamental statistical concepts and methodology. In this review, w…
Sensitivity Analysis for the Test-Negative Design
Soumyabrata Kundu, Peng Ding, Jingshu Wang +1
The test-negative design has become popular for evaluating the effectiveness of post-licensure vaccines using observational data. In addition to its logistical convenience on data…