Nature

Linear Mixed Models and Estimation Techniques

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...
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

Local Linear Mixed Effect Models: Model Specification and Interpretation in a Biological Context

Clustered data, either as an explicit part of the study design or due to the natural distribution of habitats, populations, and so on, are frequently encountered by biologists. Mixed effect models ...
JSTOR Daily

Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models

Spatial weed count data are modeled and predicted using a generalized linear mixed model combined with a Bayesian approach and Markov chain Monte Carlo. Informative priors for a data set with sparse ...
Nature

Linear mixed model helps to quantify PSA profile and predict disease progression

Assessment of prostate-specific antigen (PSA) kinetics is often used to predict outcome after radiation therapy for localized prostate cancer. The decision to start salvage therapy is usually made ...