Literature DB >> 3567298

Regression analysis in the presence of heterogeneous intraclass correlations.

A Muñoz, B Rosner, V Carey.   

Abstract

In the statistical analysis of twinship and familial data, one often encounters the need for regression methods that control for the possibly different aggregation of the twins and the members of the families according to their type (e.g., monozygotic, dizygotic for twinship data). We present the maximum likelihood solution for the regression analysis of data in the presence of heterogeneous intraclass correlations. This work extends previous results for the case of a homogeneous intraclass correlation. An application of the methods for the analysis of twinship data is included.

Mesh:

Year:  1986        PMID: 3567298

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  4 in total

1.  2D:4D ratios in the first 2 years of life: Stability and relation to testosterone exposure and sensitivity.

Authors:  Rebecca C Knickmeyer; Sandra Woolson; Robert M Hamer; Thomas Konneker; John H Gilmore
Journal:  Horm Behav       Date:  2011-06-06       Impact factor: 3.587

2.  Twin-singleton differences in neonatal brain structure.

Authors:  Rebecca C Knickmeyer; Chaeryon Kang; Sandra Woolson; J Keith Smith; Robert M Hamer; Weili Lin; Guido Gerig; Martin Styner; John H Gilmore
Journal:  Twin Res Hum Genet       Date:  2011-06       Impact factor: 1.587

3.  Common variants in psychiatric risk genes predict brain structure at birth.

Authors:  Rebecca C Knickmeyer; Jiaping Wang; Hongtu Zhu; Xiujuan Geng; Sandra Woolson; Robert M Hamer; Thomas Konneker; Weili Lin; Martin Styner; John H Gilmore
Journal:  Cereb Cortex       Date:  2013-01-02       Impact factor: 5.357

4.  Impact of sex and gonadal steroids on neonatal brain structure.

Authors:  Rebecca C Knickmeyer; Jiaping Wang; Hongtu Zhu; Xiujuan Geng; Sandra Woolson; Robert M Hamer; Thomas Konneker; Martin Styner; John H Gilmore
Journal:  Cereb Cortex       Date:  2013-05-19       Impact factor: 5.357

  4 in total

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