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
StatePublished - 1992
Externally publishedYes

Fingerprint

Genetic Epidemiology
Correlated Binary Data
Marginal Model
Conditional Model
Binary Response
Generalized Estimating Equations
Molecular Epidemiology
correlated responses
Odds Ratio
Recommendations
Regression
odds ratio
epidemiology
Model
Class

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability
  • Public Health, Environmental and Occupational Health

Cite this

Marginal models for correlated binary responses with multiple classes and multiple levels of nesting. / Qaqish, B. F.; Liang, K. Y.

In: Biometrics, Vol. 48, No. 3, 1992, p. 939-950.

Research output: Contribution to journalArticle

Qaqish, B. F. ; Liang, K. Y. / Marginal models for correlated binary responses with multiple classes and multiple levels of nesting. In: Biometrics. 1992 ; Vol. 48, No. 3. pp. 939-950.
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