Exact likelihood ratio test of independence of binary responses within clusters

Seung Ho Kang, Soo Min Park

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We consider the exact likelihood ratio test of independence of binary responses within clusters developed by George and Kodell (J. Amer. Statist. Assoc., 1996, 91, 1602-1611) conditional on the sufficient statistics for the nuisance parameter under the null hypothesis. Only an exchangeability of responses within clusters is assumed for the distribution of the observed vector. Two formulas for the exact P-values are obtained. An algorithm is proposed to avoid unnecessary enumeration when the cluster size is two. We compare the exact and asymptotic P-values in several cases.

Original languageEnglish
Pages (from-to)15-23
Number of pages9
JournalComputational Statistics and Data Analysis
Volume33
Issue number1
DOIs
Publication statusPublished - 2000 Mar 28

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Test of Independence
Binary Response
Likelihood Ratio Test
Statistics
Exchangeability
Sufficient Statistics
Nuisance Parameter
Null hypothesis
Enumeration

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

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Exact likelihood ratio test of independence of binary responses within clusters. / Kang, Seung Ho; Park, Soo Min.

In: Computational Statistics and Data Analysis, Vol. 33, No. 1, 28.03.2000, p. 15-23.

Research output: Contribution to journalArticle

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