Power calculations for delta‐adjusted pattern‐mixture models

Pattern-mixture models provide a general and flexible framework for sensitivity analyses of nonignorable missing data in longitudinal studies. The delta-adjusted pattern-mixture models handle missing data in a clinically interpretable manner and have been used as sensitivity analyses addressing the effectiveness hypothesis, while a likelihood-based approach that assumes data are missing at random…