       Document 0631
 DOCN  M9460631
 TI    Size and power of two-sample tests of repeated measures data.
 DT    9404
 AU    Dawson JD; Lagakos SW; Department of Preventive Medicine and
       Environmental Health,; University of Iowa, Iowa City 52242.
 SO    Biometrics. 1993 Dec;49(4):1022-32. Unique Identifier : AIDSLINE
       MED/94162477
 AB    One method of using repeated measures data to compare treatment groups
       in a clinical trial is to summarize each subject's outcomes with a
       single summary statistic, and then perform a distribution-free
       comparison based on the resulting statistics. We examine extensions of
       this approach and conditions under which they retain proper size in the
       presence of missing data. The asymptotic relative efficiencies of
       several summary statistic tests are calculated to show which perform
       best in a variety of situations. The techniques are illustrated using
       data from an AIDS clinical trial.
 DE    Analysis of Variance  Biometry/*METHODS  Data Interpretation,
       Statistical  Human  HIV Infections/BLOOD/DRUG THERAPY  Linear Models
       Randomized Controlled Trials/*STATISTICS & NUMER DATA  Reproducibility
       of Results  Support, U.S. Gov't, P.H.S.  T4 Lymphocytes
       Zidovudine/THERAPEUTIC USE  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).

