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 ...
Nature

Generalized linear mixed models for mapping multiple quantitative trait loci

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 unbalanced ...
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 ...
JSTOR Daily

Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures

In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever ...
JSTOR Daily

A GENERALIZED LINEAR MIXED MODEL FOR LONGITUDINAL BINARY DATA WITH A MARGINAL LOGIT LINK FUNCTION

This is a preview. Log in through your library . Abstract Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects ...