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stat.ME2026
Bayesian additive regression trees for evaluating treatment benefit predictors using observational data
Yuan Xia, Mohsen Sadatsafavi, Jeenat Mehareen +1
A treatment benefit predictor (TBP) is an algorithm that maps a patient's characteristics to their putative benefit from a given treatment, which can be used to inform treatment de…
stat.ME2024
Evaluating Treatment Benefit Predictors using Observational Data: Contending with Identification and Confounding Bias
Yuan Xia, Mohsen Sadatsafavi, Paul Gustafson
A treatment benefit predictor (TBP) is a function that maps patient characteristics to an estimate of the treatment benefit for that patient. Such predictors support optimizing ind…