Nature

Efficient multivariate linear mixed model algorithms for genome-wide association studies

Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population ...
insider.si.edu

Linear mixed models : a practical guide using statistical software / Brady T. West, Kathleen B. Welch, Andrzej T. Gałecki, University of Michigan, Ann Arbor, USA ; with ...

"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...
JSTOR Daily

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 177, No. 2 (FEBRUARY 2014), pp. 553-564 (12 pages) The paper extends existing models for multilevel multivariate data ...
JSTOR Daily

Bayesian Covariance Selection in Generalized Linear Mixed Models

This is a preview. Log in through your library . Abstract The generalized linear mixed model (GLMM), which extends the generalized linear model (GLM) to incorporate random effects characterizing ...