Goodness-of-fit tests for correlated paired binary data

Man Lai Tang, Yanbo Pei, Weng Kee Wong, Jia Liang Li

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)331-345
Number of pages15
JournalStatistical Methods in Medical Research
Volume21
Issue number4
DOIs
StatePublished - Aug 1 2012

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability
  • Health Information Management

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