IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v67y2011i3p987-995.html
   My bibliography  Save this article

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

Author

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

Abstract

No abstract is available for this item.

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01548.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Tamara Fioroni & Andrea Mario Lavezzi & Giovanni Trovato, 2023. "Organized Crime, Corruption and Economic Growth," Discussion Papers 2023/298, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    6. Volker Lang, 2017. "Twin data analysis with ACE-decomposed explanatory variables using Stata," German Stata Users' Group Meetings 2017 06, Stata Users Group.
    7. Jane Osburn, 2011. "A Latent Variable Approach to Examining the Effects of HR Policies on the Inter- and Intra-Establishment Wage and Employment Structure: A Study of Two Precision Manufacturing Industries," Working Papers 451, U.S. Bureau of Labor Statistics.
    8. D. Todem & Y. Zhang & A. Ismail & W. Sohn, 2010. "Random effects regression models for count data with excess zeros in caries research," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(10), pages 1661-1679.
    9. Angelo Moretti, 2023. "Estimation of small area proportions under a bivariate logistic mixed model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3663-3684, August.
    10. Yu-Wei Chang & Nan-Jung Hsu & Rung-Ching Tsai, 2017. "Unifying Differential Item Functioning in Factor Analysis for Categorical Data Under a Discretization of a Normal Variant," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 382-406, June.
    11. Jennifer Broatch & Sharon Lohr, 2012. "Multidimensional Assessment of Value Added by Teachers to Real-World Outcomes," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 256-277, April.
    12. 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.
    13. 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.
    14. 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.
    15. Barnea, Amir & Cronqvist, Henrik & Siegel, Stephan, 2010. "Nature or nurture: What determines investor behavior?," Journal of Financial Economics, Elsevier, vol. 98(3), pages 583-604, December.
    16. Sophia Rabe‐Hesketh & Anders Skrondal, 2006. "Multilevel modelling of complex survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 805-827, October.
    17. 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.
    18. 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.
    19. 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.
    20. Hübler, Philipp, 2017. "Heritability of time preference: Evidence from German twin data," MPRA Paper 77620, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:67:y:2011:i:3:p:987-995. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.