Global Sensitivity Analysis for Repeated Measures Studies With Informative Dropout: A Fully Parametric Approach

We present a global sensitivity analysis methodology for drawing inference about the mean at the final scheduled visit in a repeated measures study with informative dropout. We review and critique the sensitivity frameworks developed by Rotnitzky et al. and Daniels and Hogan. We identify strengths and weaknesses of these approaches and propose an alternative. We illustrate our approach via a comprehensive analysis of the RIS-INT-3 trial.

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