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Alternating logistic regressions with improved finite sample properties

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  • Jamie Perin
  • John S. Preisser

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  • Jamie Perin & John S. Preisser, 2017. "Alternating logistic regressions with improved finite sample properties," Biometrics, The International Biometric Society, vol. 73(2), pages 696-705, June.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:2:p:696-705
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    File URL: http://hdl.handle.net/10.1111/biom.12614
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    References listed on IDEAS

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    1. Bahjat F. Qaqish, 2003. "A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations," Biometrika, Biometrika Trust, vol. 90(2), pages 455-463, June.
    2. Lloyd A. Mancl & Timothy A. DeRouen, 2001. "A Covariance Estimator for GEE with Improved Small‐Sample Properties," Biometrics, The International Biometric Society, vol. 57(1), pages 126-134, March.
    3. Beth A. Reboussin & John S. Preisser & Eun-Young Song & Mark Wolfson, 2012. "Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of under-age drinking," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(3), pages 691-712, July.
    4. Bahjat F. Qaqish & Richard C. Zink & John S. Preisser, 2012. "Orthogonalized Residuals for Estimation of Marginally Specified Association Parameters in Multivariate Binary Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(3), pages 515-527, September.
    5. Bing Lu & John S. Preisser & Bahjat F. Qaqish & Chirayath Suchindran & Shrikant I. Bangdiwala & Mark Wolfson, 2007. "A Comparison of Two Bias-Corrected Covariance Estimators for Generalized Estimating Equations," Biometrics, The International Biometric Society, vol. 63(3), pages 935-941, September.
    6. Steven Teerenstra & Bing Lu & John S. Preisser & Theo van Achterberg & George F. Borm, 2010. "Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials," Biometrics, The International Biometric Society, vol. 66(4), pages 1230-1237, December.
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