Stratified testing for treatment effects with missing data.
Dawson and Lagakos (1993, Biometrics 49,1022-1032) proposed a stratified test for repeated measures data that contain missing observations. They recommended stratification based on missing data patterns and considered sufficient conditions under which the size of the test is properly retained. In this paper, we point out some practical problems with these conditions and illustrate them with their CD4 count example as well as a stimulation study. We give a less stringent condition and delineate its merit. We also discuss what to do when none of the conditions are met.
Shih
W J
WJ
Biostatistics and Research Data Systems, Rahway, New Jersey 07065, U.S.A. joe_shih@merck.com
Quan
H
H
D001699:Biometry / Q000379:methods*; D018791:CD4 Lymphocyte Count; D002986:Clinical Trials as Topic; D003198:Computer Simulation; D006801:Humans; D016018:Least-Squares Analysis; D015233:Models, Statistical; D010352:Patient Dropouts