A comparison of tests for detecting genetic variance from human twin data based on absolute intratwin differences

DOI10.1080/03610919808813464zbMath0893.62115OpenAlexW2069258727MaRDI QIDQ4386430

Lifen Zhou, Christopher J. Williams

Publication date: 17 August 1998

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919808813464

zbMATH Keywords

score testWald testsimulationslikelihood-ratio testnon-normal distributionshuman twin datamethod of moments-based test

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Cites Work

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• Central limit theorems for pedigrees
• Use of robust variance components models to analyse triglyceride data in families
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• On the Covariance Between Parameter Estimates in Models of Twin Data
• A MULTIVARIATE NORMAL MODEL FOR PEDIGREE AND LONGITUDINAL DATA AND THE SOFTWARE ‘FISHER’
• Robust Statistics

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