| Author : | Tang, Man-Lai; Pei, Yanbo; Wong, Weng-Kee; Li, Jian-Liang |
|---|---|
| Category : | Journal Article |
| Department : | |
| Year / Month : | 2012 |
| ISSN: | 0962-2802 |
| Source : | Statistical Methods in Medical Research, 21, 331 - 345 |
Abstract
- We review a few popular statistical models for correlated binary outcomes, present maximum likelihood estimates for the model parameters, and discuss model selection issues using a variety of goodness-of-fit test statistics. We apply bootstrap strategies that are computationally efficient to evaluate the performance of goodness-of-fit statistics and observe that generally the power and the type I error rate of the goodness-of-fit statistics depend on the model under investigation. Our simulation results show that careful choice of goodness-of-fit statistics is an important issue especially when we have a small sample and the outcomes are highly correlated. Two biomedical applications are included.
Keywords
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