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Statistical Inference in Mixed Models and Analysis of Twin and Family Data

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  • Xueqin Wang
  • Xiaobo Guo
  • Mingguang He
  • Heping Zhang

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Suggested Citation

  • Xueqin Wang & Xiaobo Guo & Mingguang He & Heping Zhang, 2011. "Statistical Inference in Mixed Models and Analysis of Twin and Family Data," Biometrics, The International Biometric Society, vol. 67(3), pages 987-995, September.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:3:p:987-995
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01548.x
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    References listed on IDEAS

    as
    1. Rui Feng & Gongfu Zhou & Meizhuo Zhang & Heping Zhang, 2009. "Analysis of Twin Data Using SAS," Biometrics, The International Biometric Society, vol. 65(2), pages 584-589, June.
    2. S. Rabe-Hesketh & A. Skrondal, 2001. "Parameterization of Multivariate Random Effects Models for Categorical Data," Biometrics, The International Biometric Society, vol. 57(4), pages 1256-1263, December.
    3. S. Rabe-Hesketh & A. Skrondal & H. K. Gjessing, 2008. "Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software," Biometrics, The International Biometric Society, vol. 64(1), pages 280-288, March.
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    Cited by:

    1. Luciana Dalla Valle & Fabrizio Leisen & Luca Rossini, 2018. "Bayesian non‐parametric conditional copula estimation of twin data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(3), pages 523-548, April.
    2. Patel, Pankaj C. & Wolfe, Marcus T. & Williams, Trenton A., 2019. "Self-employment and allostatic load," Journal of Business Venturing, Elsevier, vol. 34(4), pages 731-751.

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