Journal ArticleOPEN ACCESS

Specification of Generalized Linear Mixed Models for Family Data using Markov Chain Monte Carlo Methods

  • Sophie G Zaloumis K
Journal of Biometrics & Biostatistics (2013)
DOI: 10.4172/2155-6180.s1-003
N/ACitations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

Abstract Statistical models imposed on family data can be used to partition phenotypic variation into components due to sharing of both genetic and environmental risk factors for disease. Generalized linear mixed models (GLMMs) are useful tools for the analysis of ...

Cite

CITATION STYLE

APA

Sophie G Zaloumis, K. M. J. (2013). Specification of Generalized Linear Mixed Models for Family Data using Markov Chain Monte Carlo Methods. Journal of Biometrics & Biostatistics. https://doi.org/10.4172/2155-6180.s1-003

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free