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More efficient unconditional tests for exchangeable binary data with equal cluster sizes

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  • Shan, Guogen

Abstract

We consider exact unconditional procedures for testing independence of exchangeable binary data with equal-sized clusters. The approximate unconditional approach is recommended as a basic procedure. The exact unconditional procedure based on estimation followed by maximization is recommended for the small number of clusters.

Suggested Citation

  • Shan, Guogen, 2013. "More efficient unconditional tests for exchangeable binary data with equal cluster sizes," Statistics & Probability Letters, Elsevier, vol. 83(2), pages 644-649.
  • Handle: RePEc:eee:stapro:v:83:y:2013:i:2:p:644-649 DOI: 10.1016/j.spl.2012.11.014
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    References listed on IDEAS

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    1. Kang, Seung-Ho & Park, Soo Min, 2000. "Exact likelihood ratio test of independence of binary responses within clusters," Computational Statistics & Data Analysis, Elsevier, vol. 33(1), pages 15-23, March.
    2. Shan, Guogen & Ma, Changxing & Hutson, Alan D. & Wilding, Gregory E., 2013. "Some tests for detecting trends based on the modified Baumgartner–Weiß–Schindler statistics," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 246-261.
    3. Bowman, Dale, 1999. "A parametric independence test for clustered binary data," Statistics & Probability Letters, Elsevier, vol. 41(1), pages 1-7, January.
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    Cited by:

    1. Shan, Guogen, 2014. "Exact approaches for testing non-inferiority or superiority of two incidence rates," Statistics & Probability Letters, Elsevier, vol. 85(C), pages 129-134.

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