Marginal models for correlated binary responses with multiple classes and multiple levels of nesting

B. F. Qaqish, K. Y. Liang

Research output: Contribution to journalArticle

Abstract

A model for correlated binary data is presented. Marginal probabilities and odds ratios are allowed to have general regression structures that include multiple classes and multiple levels of nesting. Estimation is done through the generalized estimating equations approach of Liang and Zeger (1986, Biometrika 73, 13-22). They are contrasted with conditional models and recommendations for choosing between the two are given. Examples from genetic epidemiology are presented.

Original languageEnglish (US)
Pages (from-to)939-950
Number of pages12
JournalBiometrics
Volume48
Issue number3
DOIs
StatePublished - Jan 1 1992

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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