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Testing treatment efficacy in clinical trials with repeated binary measurements and missing observations 

Authors: Dean Follmann a;  Margaret Wu a; Nancy L. Geller a
Affiliation:   a Biostatistics Research Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
DOI: 10.1080/03610929408831272
Publication Frequency: 20 issues per year
Published in: journal Communications in Statistics - Theory and Methods, Volume 23, Issue 2 1994 , pages 557 - 574
Full text options: no full text options are available.


Abstract

This paper discusses different approaches for dealing with clinical trials with a repeated binary endpoint, where many of the binary outcomes are likely to be missing. Ad hoc tests of means and their rank analogues are discussed as well as combination tests, simple imputation, and model-based approaches. The procedures are illustrated with an example of a clinical trial in opiate-dependent individuals.
Keywords: Binary Repeated Measures; Longitudinal Data; Logistic Regression; Random Effects; Rank Test
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