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Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software

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  • S. Rabe-Hesketh
  • A. Skrondal
  • H. K. Gjessing

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  • 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.
  • Handle: RePEc:bla:biomet:v:64:y:2008:i:1:p:280-288
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00803.x
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    References listed on IDEAS

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    1. Germán Rodríguez & Noreen Goldman, 2001. "Improved estimation procedures for multilevel models with binary response: a case‐study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 339-355.
    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. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
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    Cited by:

    1. Ghebremichael-Weldeselassie, Yonas & Whitaker, Heather J. & Douglas, Ian J. & Smeeth, Liam & Farrington, C. Paddy, 2017. "Self-controlled case series with multiple event types," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 64-72.
    2. Volker Lang, 2017. "Twin data analysis with ACE-decomposed explanatory variables using Stata," German Stata Users' Group Meetings 2017 06, Stata Users Group.
    3. Hübler, Philipp, 2017. "Heritability of time preference: Evidence from German twin data," MPRA Paper 77620, University Library of Munich, Germany.
    4. Peter K. Hatemi & John R. Hibbing & Sarah E. Medland & Matthew C. Keller & John R. Alford & Kevin B. Smith & Nicholas G. Martin & Lindon J. Eaves, 2010. "Not by Twins Alone: Using the Extended Family Design to Investigate Genetic Influence on Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 798-814, July.
    5. Jason D Boardman & Michael E Roettger & Benjamin W Domingue & Matthew B McQueen & Brett C Haberstick & Kathleen Mullan Harris, 2012. "Gene–environment interactions related to body mass: School policies and social context as environmental moderators," Journal of Theoretical Politics, , vol. 24(3), pages 370-388, July.
    6. Philipp Huebler, 2017. "Heritability of time preference: Evidence from German twin data," Discussion Paper Series 334, Universitaet Augsburg, Institute for Economics.
    7. Rabe, Birgitta & Nicoletti, Cheti, 2010. "Inequality in pupils’ educational attainment: how much do family, sibling type and neighbourhood matter?," ISER Working Paper Series 2010-26, Institute for Social and Economic Research.
    8. Owen, Gwilym & Jones, Kelvyn & Harris, Richard, 2017. "Does neighbourhood deprivation affect the genetic influence on body mass?," Social Science & Medicine, Elsevier, vol. 185(C), pages 38-45.
    9. Vladasel, Theodor & Lindquist, Matthew J. & Sol, Joeri & van Praag, Mirjam, 2021. "On the origins of entrepreneurship: Evidence from sibling correlations," Journal of Business Venturing, Elsevier, vol. 36(5).
    10. Luca Crivelli & Mario Lucchini, 2017. "Health and happiness: an introduction," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 64(2), pages 105-111, June.
    11. Kettlewell, Nathan & Tymula, Agnieszka, 2021. "The Heritability of Trust and Trustworthiness Depends on the Measure of Trust," IZA Discussion Papers 14734, Institute of Labor Economics (IZA).
    12. Cheti Nicoletti & Birgitta Rabe, 2013. "Inequality in Pupils' Test Scores: How Much do Family, Sibling Type and Neighbourhood Matter?," Economica, London School of Economics and Political Science, vol. 80(318), pages 197-218, April.
    13. 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.
    14. 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.
    15. Steven F. Lehrer & Weili Ding, 2017. "Are genetic markers of interest for economic research?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-23, December.
    16. George L. Wehby & Dan Shane, 2019. "Genetic variation in health insurance coverage," International Journal of Health Economics and Management, Springer, vol. 19(3), pages 301-316, December.
    17. Diana, Tony, 2018. "An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 41-49.
    18. 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.

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