Markov chain models for multivariate repeated binary data analysis |
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Authors: | Wei Tian Stewart J Anderson |
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Institution: | 1. 13979, NC, Quintiles, Inc P.O. Box Research Triangle Park 27709;2. Department of Biostatistics , University of Pittsburgh , 15261, Pittsburgh, PA |
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Abstract: | Repeated categorical outcomes frequently occur in clinical trials. Muenz and Rubinstein (1985) presented Markov chain models to analyze binary repeated data in a breast cancer study. We extend their method to the setting when more than one repeated outcome variable is of interest. In a randomized clinical trial of breast cancer, we investigate the dependency of toxicities on predictor variables and the relationship among multiple toxic effects. |
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Keywords: | Markov chain models Multivariate repeated data Loglinear models Clinical trials Toxicity |
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