43 citations · 354 across the 81 of their papers we have counts for
81 papers
Causal inference in two-sided randomization designs: factorial regression, two-way clustering, and covariate adjustment
Pengfei Tian, Jizhou Liu, Lei Shi +1
We study randomized experiments involving two interacting populations, such as buyers and sellers in a marketplace. In the two-sided experiments we consider, we randomize the two p…
Misspecified regressions with mixed regressors: robust inference and causal interpretation
Mengsi Gao, Peng Ding
For analytic convenience, existing statistical frameworks either assume random or fixed regressors. However, it is a little awkward that they do not cover the practical case of est…
Introducing the CP-plot for Causal Inference with Observational Studies
Pengfei Tian, Fan Yang, Peng Ding
Under the canonical setting of observational studies for causal inference, we derive a set of exact representations for pairwise differences among weighted average treatment effect…
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…