5.5k citations · 6.2k across the 34 of their papers we have counts for
7 papers · 2 filters
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
Trang Quynh Nguyen, Benjamin Ackerman, Ian Schmid +2
Background: Randomized controlled trials are often used to inform policy and practice for broad populations. The average treatment effect (ATE) for a target population, however, ma…
A trial emulation approach for policy evaluations with group-level longitudinal data
Eli Ben-Michael, Avi Feller, Elizabeth A. Stuart
To limit the spread of the novel coronavirus, governments across the world implemented extraordinary physical distancing policies, such as stay-at-home orders, and numerous studies…
Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomes
Trang Quynh Nguyen, Ian Schmid, Elizabeth L. Ogburn +1
Causal mediation analysis is complicated with multiple effect definitions that require different sets of assumptions for identification. This paper provides a systematic explanatio…
MatchThem:: Matching and Weighting after Multiple Imputation
Farhad Pishgar, Noah Greifer, Clémence Leyrat +1
Balancing the distributions of the confounders across the exposure levels in an observational study through matching or weighting is an accepted method to control for confounding d…
COVID-19 Policy Impact Evaluation: A guide to common design issues
Noah A Haber, Emma Clarke-Deelder, Joshua A Salomon +2
Policy responses to COVID-19, particularly those related to non-pharmaceutical interventions, are unprecedented in scale and scope. Epidemiologists are more involved in policy deci…
Generalizing Randomized Trial Findings to a Target Population using Complex Survey Population Data
Benjamin Ackerman, Catherine R. Lesko, Juned Siddique +2
Randomized trials are considered the gold standard for estimating causal effects. Trial findings are often used to inform policy and programming efforts, yet their results may not…