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Rank-Based Analysis of Unbalanced Repeated Measures Data

Author(s): M. Mushfiqur Rashid | Joseph W. McKean | John D. Kloke

Journal: Pakistan Journal of Statistics and Operation Research
ISSN 1816-2711

Volume: 8;
Issue: 3;
Date: 2012;
Original page

Keywords: Clinical trials | Dispersion function | -Estimators | -Estimators | Interactions.

In this article, we have developed a rank (intra-subject) based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each patient are exchangeable and continuous 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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