activity
20062026
most citedMatching Methods for Causal Inference: A Review and a Look Forward

5.5k citations · 6.2k across the 34 of their papers we have counts for

collaborators

36 papers

stat.ME2026

A Novel Tool for Evaluating Effect Modification in Older Adults with ADRD Using Medicare Claims

Yilin Zhang, Michelle Shardell, Jason Falvey +3

Studying consequences following baseline exposures has become increasingly important for advancing comparative effectiveness research using real-world data. This case study evaluat…

stat.ME2023

Identifying Optimal Methods for Addressing Confounding Bias When Estimating the Effects of State-Level Policies

Beth Ann Griffin, Megan S. Schuler, Elizabeth M. Stone +6

Background: Policy evaluation studies that assess how state-level policies affect health-related outcomes are foundational to health and social policy research. The relative abilit…

stat.ME2023★ 10 cited

A Causal Roadmap for Generating High-Quality Real-World Evidence

Lauren E Dang, Susan Gruber, Hana Lee +23

Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks…

stat.ME2023★ 2 cited

Improving efficiency in transporting average treatment effects

Kara E. Rudolph, Nicholas T. Williams, Elizabeth A. Stuart +1

We develop flexible, semiparametric estimators of the average treatment effect (ATE) transported to a new population ("target population") that offer potential efficiency gains. Tr…

stat.ME2023

Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity

Carly Lupton Brantner, Ting-Hsuan Chang, Trang Quynh Nguyen +3

Estimating treatment effects conditional on observed covariates can improve the ability to tailor treatments to particular individuals. Doing so effectively requires dealing with p…

stat.ME2023

Comparison of Methods that Combine Multiple Randomized Trials to Estimate Heterogeneous Treatment Effects

Carly Lupton Brantner, Trang Quynh Nguyen, Tengjie Tang +3

Individualized treatment decisions can improve health outcomes, but using data to make these decisions in a reliable, precise, and generalizable way is challenging with a single da…