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Evaluation Review|July 17, 2020
Using Propensity Score Analysis of Survey Data to Estimate Population Average Treatment Effects: A Case Study Comparing Different MethodsNianbo Dong, Elizabeth A Stuart, David Lenis, et al.Biostatistics (Oxford, England)|January 3, 2018
It's all about balance: propensity score matching in the context of complex survey dataDavid Lenis, Trang Quynh Nguyen, Nianbo Dong, et al.American Journal of Epidemiology|June 12, 2024
Multiple imputation for propensity score analysis with covariates missing at random: some clarity on "within" and "across" methodsTrang Quynh Nguyen, Elizabeth A StuartPsychological Methods|July 17, 2020
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learnTrang Quynh Nguyen, Ian Schmid, Elizabeth A StuartBiostatistics (Oxford, England)|April 5, 2024
Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptionsTrang Quynh Nguyen, Michelle C Carlson, Elizabeth A StuartJournal of Causal Inference|May 9, 2024
Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomesTrang Quynh Nguyen, Ian Schmid, Elizabeth L Ogburn, et al.Advances in Neural Information Processing Systems|May 25, 2026
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal InferenceHarsh Parikh, Trang Quynh Nguyen, Elizabeth A Stuart, et al.Structural Equation Modeling : a Multidisciplinary Journal|May 10, 2016
Causal mediation analysis with a binary outcome and multiple continuous or ordinal mediators: Simulations and application to an alcohol interventionTrang Quynh Nguyen, Yenny Webb-Vargas, Ina M Koning, et al.Statistics in Medicine|June 18, 2024
Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effectsTrang Quynh Nguyen, Elizabeth A Stuart, Daniel O Scharfstein, et al.Plos One|December 12, 2018
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 detailsTrang Quynh Nguyen, Benjamin Ackerman, Ian Schmid, et al.Pageof 39