12 citations · 41 across the 15 of their papers we have counts for
5 papers · 1 filter
A randomization-based theory for preliminary testing of covariate balance in controlled trials
Anqi Zhao, Peng Ding
Randomized trials balance all covariates on average and provide the gold standard for estimating treatment effects. Chance imbalances nevertheless exist more or less in realized tr…
Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
Yixin Fang, Pallavi Mishra-Kalyani, Xiang Zhang +8
The American Statistical Association Biopharmaceutical Section (ASA BIOP) scientific working group on real-world evidence (RWE) has been making continuous, extended efforts towards…
A First Course in Causal Inference
Peng Ding
I developed the lecture notes based on my ``Causal Inference'' course at the University of California Berkeley over the past seven years. Since half of the students were undergradu…
Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confounding
Sizhu Lu, Peng Ding
Causal inference with observational studies often suffers from unmeasured confounding, yielding biased estimators based on the unconfoundedness assumption. Sensitivity analysis ass…
When is the estimated propensity score better? High-dimensional analysis and bias correction
Fangzhou Su, Wenlong Mou, Peng Ding +1
Anecdotally, using an estimated propensity score is superior to the true propensity score in estimating the average treatment effect based on observational data. However, this clai…