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Activity Number: 17
Type: Topic Contributed
Date/Time: Sunday, July 31, 2016 : 2:00 PM to 3:50 PM
Sponsor: Mental Health Statistics Section
Abstract #319222
Title: Role of Simulations in the Selection of the Primary Estimand and Statistical Methods for Handling Missing Data
Author(s): Elena Polverejan*
Companies: Janssen R&D
Keywords: Estimand ; Missing Data ; Sensitivity Analysis ; Simulation ; Neuroscience ; Clinical Trials

Selection of the primary estimand and corresponding analysis methods in the presence of missing response information is a complex problem. This presentation uses neuroscience clinical trial examples to describe how simulations can be a powerful tool to address this complex problem at the trial design stage. The performed simulations incorporate various assumptions for the trial. Simulation metrics such as the estimated power and Type I error rate, mean and standard error for the treatment difference versus control, etc. allow a quantitative comparison of the performance of different methods. The talk will show how the simulation results play a critical role towards an informed selection of the primary estimand, primary analysis method and additional sensitivity analyses.

Authors who are presenting talks have a * after their name.

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