5.5k citations · 6.2k across the 34 of their papers we have counts for
5 papers · 2 filters
Propensity score analysis with latent covariates: Measurement error bias correction using the covariate's posterior mean, aka the inclusive factor score
Trang Quynh Nguyen, Elizabeth A. Stuart
We address measurement error bias in propensity score (PS) analysis due to covariates that are latent variables. In the setting where latent covariate is measured via multiple…
Transportability of Outcome Measurement Error Correction: from Validation Studies to Intervention Trials
Benjamin Ackerman, Juned Siddique, Elizabeth A. Stuart
Many lifestyle intervention trials depend on collecting self-reported outcomes, like dietary intake, to assess the intervention's effectiveness. Self-reported outcome measures are…
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population
Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +4
Extending (generalizing or transporting) causal inferences from a randomized trial to a target population requires ``generalizability'' or ``transportability'' assumptions, which s…
Study designs for extending causal inferences from a randomized trial to a target population
Issa J. Dahabreh, Sebastien J-P. A. Haneuse, James M. Robins +4
We examine study designs for extending (generalizing or transporting) causal inferences from a randomized trial to a target population. Specifically, we consider nested trial desig…
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…