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Pearson's chi-square test and rank correlation inferences for clustered data

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  • Joanna H. Shih
  • Michael P. Fay

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  • Joanna H. Shih & Michael P. Fay, 2017. "Pearson's chi-square test and rank correlation inferences for clustered data," Biometrics, The International Biometric Society, vol. 73(3), pages 822-834, September.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:3:p:822-834
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    File URL: http://hdl.handle.net/10.1111/biom.12653
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    References listed on IDEAS

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    1. Datta, Somnath & Satten, Glen A., 2005. "Rank-Sum Tests for Clustered Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 908-915, September.
    2. Dean Follmann & Michael Proschan & Eric Leifer, 2003. "Multiple Outputation: Inference for Complex Clustered Data by Averaging Analyses from Independent Data," Biometrics, The International Biometric Society, vol. 59(2), pages 420-429, June.
    3. John M. Williamson & Somnath Datta & Glen A. Satten, 2003. "Marginal Analyses of Clustered Data When Cluster Size Is Informative," Biometrics, The International Biometric Society, vol. 59(1), pages 36-42, March.
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    2. Carmen-Alexandra Stoian & Chirața Caraiani & Ionuț Florin Anica-Popa & Cornelia Dascălu & Camelia Iuliana Lungu, 2022. "Telework Systematic Model Design for the Future of Work," Sustainability, MDPI, vol. 14(12), pages 1-22, June.

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