Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint: A Comparison of Bayesian and Frequentist Approaches.
Berchialla PaolaVeronica SciannameoSara UrruCorrado LaneraDanila AzzolinaDario GregoriIleana BaldiPublished in: International journal of environmental research and public health (2021)
Adjusting for prognostic baseline covariates in the analysis of RCTs can have more power than intention-to-treat based tests. However, for some classes of model, when the regression model is mis-specified, inflated type I error and potential bias on treatment effect estimate may arise.
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