Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population ...
Mixed linear models are used to analyze data in many settings. These models have a multivariate normal formulation in most cases. The maximum likelihood estimator (MLE) or the residual MLE (REML) is ...
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 ...
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