Rank-Based Analysis of Clinical Trials with Unbalanced Repeated Measures Data
نویسنده
چکیده
We develop a rank-based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each subject are exchangeable random variables. This rank-based inference is valid when the unbalanced data are missing either completely at random or by design. A drop in dispersion test is developed for general linear hypotheses. A numerical example is given to illustrate the procedure.
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تاریخ انتشار 2002