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

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  • Shan, Guogen
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    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.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0167715212004300
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    Bibliographic Info

    Article provided by Elsevier in its journal Statistics & Probability Letters.

    Volume (Year): 83 (2013)
    Issue (Month): 2 ()
    Pages: 644-649

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    Handle: RePEc:eee:stapro:v:83:y:2013:i:2:p:644-649

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    Related research

    Keywords: Correlated binary data; Exact test; Exchangeability; Likelihood ratio test; Unconditional test;

    References

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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. Bowman, Dale, 1999. "A parametric independence test for clustered binary data," Statistics & Probability Letters, Elsevier, vol. 41(1), pages 1-7, January.
    3. 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.
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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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