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Testing the homogeneity of proportions for clustered binary data without knowing the correlation structure

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  • Tsung-Shan Tsou
  • Hsiao-Yun Liu

Abstract

A robust generalized score test for comparing groups of cluster binary data is proposed. This novel test is asymptotically valid for practically any underlying correlation configurations including the situation when correlation coefficients vary within or between clusters. This structure generally undermines the validity of the typical large sample properties of the method of maximum likelihood. Simulations and real data analysis are used to demonstrate the merit of this parametric robust method. Results show that our test is superior to two recently proposed test statistics advocated by other researchers.

Suggested Citation

  • Tsung-Shan Tsou & Hsiao-Yun Liu, 2015. "Testing the homogeneity of proportions for clustered binary data without knowing the correlation structure," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(8), pages 1706-1715, August.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:8:p:1706-1715
    DOI: 10.1080/02664763.2015.1005062
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