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Published online 4 August 2011 in Wiley Online Library

Published online 4 August 2011 in Wiley Online Library-2025

Published online 4 August 2011 in Wiley Online Library Preview on Page 1

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The document presents a methodology for identifying subgroups of patients in randomized clinical trials that may benefit from enhanced treatment effects. The authors introduce the 'Virtual Twins' method, which predicts response probabilities for treatment and control groups to define subgroups based on a limited number of covariates. This approach aims to mitigate the risks associated with traditional subgroup analyses by employing pre-defined statistical strategies. The paper discusses various methods for estimating treatment effects within these subgroups, evaluates their performance through simulations, and applies the methodology to real clinical trial data, highlighting its advantages over conventional logistic regression methods.

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