An application of the clumped binomial model to the analysis of clustered attribute data

G. G. Koch, H. D. Tolley, J. L. Freeman

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

This paper is concerned with the statistical analysis of situations where the experimental units are clusters of subjects, each of whom is classified with respect to the presence of a particular (binary response) attribute. For this purpose, the clumped binomial probability model is used to define an underlying mean rate parameter in terms of which the effects of certain treatments as well as cluster size itself can be investigated. The resulting methodology involves a synthesis of certain maximum likelihood and weighted least squares procedures; it is illustrated for a three dimensional contingency table pertaining to numbers of deaths in litters of baby mice.

Original languageEnglish (US)
Pages (from-to)337-354
Number of pages18
JournalBiometrics
Volume32
Issue number2
DOIs
StatePublished - Jan 1 1976

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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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