Abstract:
In this paper a robust method is developed for the analysis of data consisting of repeated binary
observations taken at up to three xed time points on each subject. The primary objective is to compare
outcomes at the last time point, using earlier observations to predict this for subjects with incomplete
records. A score test is derived. The method is developed for application to sequential clinical trials,
as at interim analyses there will be many incomplete records occurring in non-informative patterns.
Motivation for the methodology comes from experience with clinical trials in stroke and head injury,
and data from one such trial is used to illustrate the approach. Extensions to more than three time
points and to allow for strati cation are discussed
