1 citations · 1 across the 2 of their papers we have counts for
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Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity
Carly Lupton Brantner, Ting-Hsuan Chang, Trang Quynh Nguyen +3
Estimating treatment effects conditional on observed covariates can improve the ability to tailor treatments to particular individuals. Doing so effectively requires dealing with p…
Comparison of Methods that Combine Multiple Randomized Trials to Estimate Heterogeneous Treatment Effects
Carly Lupton Brantner, Trang Quynh Nguyen, Tengjie Tang +3
Individualized treatment decisions can improve health outcomes, but using data to make these decisions in a reliable, precise, and generalizable way is challenging with a single da…
Propensity score-based estimators with multiple error-prone covariates
Hwanhee Hong, David A. Aaby, Juned Siddique +1
Propensity score methods are an important tool to help reduce confounding in non-experimental studies. Most propensity score methods assume that covariates are measured without err…