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stat.AP2026
Evaluating Predictive Modeling Strategies for Predicting Individual Treatment Effects in Precision Medicine
Pamela M. Chiroque-Solano, M Lee Van Horn, Thomas Jaki
Precision medicine seeks to match patients with treatments that produce the greatest benefit. The Predicted Individual Treatment Effect (PITE)-the difference between predicted outc…
stat.AP2025
A Bayesian Additive Regression Trees Model for zero and one inflated data for Predicting Individual Treatment Effects in Alcohol Use Disorder Trials
Pamela Solano, M Lee Van Horn, Kyle Walters +4
Alcohol Use Disorder (AUD) treatment presents high individual-level heterogeneity, with outcomes ranging from complete abstinence to persistent heavy drinking. This variability-dri…
stat.AP2025
Joint TITE-CRM for Dual Agent Dose Finding Studies
Helen Barnett, Oliver Boix, Dimitris Kontos +1
Dual agent dose-finding trials study the effect of a combination of more than one agent, where the objective is to find the Maximum Tolerated Dose Combination (MTC), the combinatio…