Robustness of the linear mixed effects model to error distribution assumptions and the consequences for genome-wide association studies

DOI10.1515/sagmb-2013-0066zbMath1298.92014OpenAlexW2010805470WikidataQ53152492 ScholiaQ53152492MaRDI QIDQ470311

Kate Tilling, Nicole M. Warrington, Lavinia Paternoster, Laura D. Howe, Craig E. Pennell, Laurent Briollais, Yan Yan Wu

Publication date: 12 November 2014

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://www.degruyter.com/view/j/sagmb.2014.13.issue-5/sagmb-2013-0066/sagmb-2013-0066.xml?format=INT

zbMATH Keywords

robustnessmixed modelgenome-wide associationALSPAClongitudinal studiesmisspecificiation

Mathematics Subject Classification ID

General biostatistics (92B15)

Uses Software

• R
• MLwiN
• GenABEL
• simsum

Cites Work

• Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Robustness of the linear mixed model to misspecified error distribution
• Tests for the general linear hypothesis under the multiple design multivariate linear model
• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
• Model Robust Confidence Intervals Using Maximum Likelihood Estimators
• A Stochastic Model for Analysis of Longitudinal AIDS Data
• Mixed-Effects Models in S and S-PLUS
• Genomic Control for Association Studies
• On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses
• Linear mixed models for longitudinal data

This page was built for publication: Robustness of the linear mixed effects model to error distribution assumptions and the consequences for genome-wide association studies