activity
20192023
most citedClarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn

220 citations · 274 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

Shared Control Individuals in Health Policy Evaluations with Application to Medical Cannabis Laws

Nicholas J. Seewald, Emma E. McGinty, Kayla Tormohlen +2

Health policy researchers often have questions about the effects of a policy implemented at some cluster-level unit, e.g., states, counties, hospitals, etc. on individual-level out…

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…

stat.ME2020★ 38 cited

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…

stat.ME2020★ 3 cited

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…

stat.ME2019★ 220 cited

Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn

Trang Quynh Nguyen, Ian Schmid, Elizabeth A. Stuart

The incorporation of causal inference in mediation analysis has led to theoretical and methodological advancements -- effect definitions with causal interpretation, clarification o…