Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide
Published 7 October 2020 Missing data due to loss to follow‐up or intercurrent events are unintended, but unfortunately inevitable in clinical trials. Since the true values of missing data are never known, it is necessary to assess the impact of untestable and unavoidable assumptions about any unobserved data in sensitivity analysis. This tutorial provides an overview of controlled multiple imputa