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 ...
Simon Fraser University

Mixed Models Theory

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...
JSTOR Daily

High-Breakdown Inference for Mixed Linear Models

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 ...
Medicine Buffalo

Generalized Linear (Mixed) Models of Post-earthquake Ignitions

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of ...
Simon Fraser University

Analysis of Variance for Mixed and Random Effect Models

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 ...