SIZE AND POWER OF 2-SAMPLE TESTS OF REPEATED-MEASURES DATA

One method of using repeated measures data to compare treatment groups in a clinical trial is to summarize each subject's outcomes with a si ngle summary statistic, and then perform a distribution-free compariso n based on the resulting statistics. We examine extensions of this app roach and conditions under which they retain proper size in the presen ce of missing data. The asymptotic relative efficiencies of several su mmary statistic tests are calculated to show which perform best in a v ariety of situations. The techniques are illustrated using data from a n AIDS clinical trial.