activity
20062023
most citedFor objective causal inference, design trumps analysis

842 citations · 1.7k across the 24 of their papers we have counts for

collaborators

25 papers

stat.ME2023

Towards more scientific meta-analyses

Lily H. Zhang, Menelaos Konstantinidis, Marie-Abèle Bind +1

Meta-analysis can be a critical part of the research process, often serving as the primary analysis on which the practitioners, policymakers, and individuals base their decisions.…

stat.ME2023

Bayesian Criterion for Re-randomization

Zhaoyang Liu, Tingxuan Han, Donald B. Rubin +1

Re-randomization has gained popularity as a tool for experiment-based causal inference due to its superior covariate balance and statistical efficiency compared to classic randomiz…

stat.ME2022★ 2 cited

Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis

Dongming Huang, Feicheng Wang, Donald B. Rubin +1

Catalytic prior distributions provide general, easy-to-use, and interpretable specifications of prior distributions for Bayesian analysis. They are particularly beneficial when the…

stat.ME2022

Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism

Nicole E. Pashley, Kristen B. Hunter, Katy McKeough +2

Consider a situation with two treatments, the first of which is randomized but the second is not, and the multifactor version of this. Interest is in treatment effects, defined usi…

stat.ME2021

PCA Rerandomization

Hengtao Zhang, Guosheng Yin, Donald B. Rubin

Mahalanobis distance between treatment group and control group covariate means is often adopted as a balance criterion when implementing a rerandomization strategy. However, this c…

stat.ME2020★ 7 cited

Contrast Specific Propensity Scores

Shasha Han, Donald Rubin

Basic propensity score methodology is designed to balance multivariate pre-treatment covariates when comparing one active treatment with one control treatment. Practical settings o…