5 papers
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 Based on Covariance Representations of Weighted Average Treatment Effects
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…
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…
Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
Lei Shi, Peng Ding
Neyman (1923/1990) introduced the randomization model, which contains the notation of potential outcomes to define causal effects and a framework for large-sample inference based o…
Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding
Mingrui Zhang, Peng Ding
Mediation analysis assesses the extent to which the exposure affects the outcome indirectly through a mediator and the extent to which it operates directly through other pathways.…