Using the theory of added-variable plot for linear mixed models to decompose genetic effects in family data

DOI10.1515/SAGMB-2013-0057zbMath1296.92028OpenAlexW1980401016WikidataQ30826980 ScholiaQ30826980MaRDI QIDQ461687

Alexandre C. Pereira, Nubia E. Duarte, Júlia P. Soler, Mariza de Andrade, Suely Ruiz Giolo

Publication date: 13 October 2014

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

Full work available at URL: https://doi.org/10.1515/sagmb-2013-0057

zbMATH Keywords

variance componentsassociation analysisinfluential familiespolygenic models

Mathematics Subject Classification ID

General biostatistics (92B15)

Uses Software

• SimPed
• Plotly
• pyuvdata

Cites Work

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• Extension of the Gauss-Markov theorem to include the estimation of random effects
• Linear mixed models in practice: a SAS-oriented approach
• Extensions to multivariate normal models for pedigree analysis
• ON THE ROBUST ANALYSIS OF VARIANCE COMPONENTS MODELS FOR PEDIGREE DATA
• Some Algebra and Geometry for Hierarchical Models, Applied to Diagnostics
• Interpreting Statistical Evidence by using Imperfect Models: Robust Adjusted Likelihood Functions
• Residual Analysis for Linear Mixed Models
• A robust diagnostic plot for explanatory variables under model mis-specification
• Leverage analysis for linear mixed models
• Linear Statistical Inference and its Applications

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