Linear mixed models (LMMs) provide a powerful method for studying genotype–phenotype associations. Here the authors present a LMM application that estimates an optimal transformation from ...

Linear mixed model (LMM) methodology is a powerful technology to analyze models containing both the fixed and random effects. The model was first proposed to estimate genetic parameters for ...

Dalei Yu, Xinyu Zhang, Kelvin K.W. Yau, Asymptotic properties and information criteria for misspecified generalized linear mixed models, Journal of the Royal Statistical Society.

Xihong Lin, Jonathan Raz, , Linear Mixed Models with Heterogeneous within-Cluster Variances, Biometrics, Vol. 53, No. 3 (Sep., 1997), pp. 910-923 ...

Just as PROC GLM is the flagship procedure for fixed-effect linear models, the MIXED procedure is the flagship procedure for random- and mixed-effect linear models. PROC MIXED fits a variety of mixed ...