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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

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Showing 2021 · stat.MEShow all

5 papers · 2 filters

stat.ME2021★ 1 cited

Estimating subgroup effects in generalizability and transportability analyses

Sarah E. Robertson, Jon A. Steingrimsson, Nina R. Joyce +2

Methods for extending -- generalizing or transporting -- inferences from a randomized trial to a target population involve conditioning on a large set of covariates that is suffici…

stat.ME2021★ 36 cited

Choosing the Causal Estimand for Propensity Score Analysis of Observational Studies

Noah Greifer, Elizabeth A. Stuart

Matching and weighting methods for observational studies involve the choice of an estimand, the causal effect with reference to a specific target population. Commonly used estimand…

stat.ME2021★ 13 cited

Methodological considerations for estimating policy effects in the context of co-occurring policies

Beth Ann Griffin, Megan S. Schuler, Joseph Pane +5

Understanding how best to estimate state-level policy effects is important, and several unanswered questions remain, particularly about the ability of statistical models to disenta…

stat.ME2021★ 1 cited

Center-specific causal inference with multicenter trials: reinterpreting trial evidence in the context of each participating center

Sarah E. Robertson, Jon A. Steingrimsson, Nina R. Joyce +2

In multicenter randomized trials, when effect modifiers have a different distribution across centers, comparisons between treatment groups that average over centers may not apply t…

stat.ME2021★ 13 cited

Causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effects

Trang Quynh Nguyen, Elizabeth L. Ogburn, Ian Schmid +4

This paper aims to provide practitioners of causal mediation analysis with a better understanding of estimation options. We take as inputs two familiar strategies (weighting and mo…