Add to ORKGThese are (incomplete) course notes about generalised linear mixed models (GLMM). Special emphasis is placed on understanding the underlying struc-ture of a GLMM in order to show that slight modifications of this structure can produce a wide range of models. These include familiar models like regressio
Generalized linear mixed models (GLMMs) provide statisticians, scientists, and analysts great flexib...
Generalized linear mixed model (GLMM) results for the effects of aseptic technique and pouch designs...
Generalized linear mixed models provide a flexible framework for modeling a range of data, although ...
(from the chapter) This chapter presents a method based on a structural equation modeling (SEM) fram...
The Generalized Linear Mixed Model (GLMM) is a natural extension and mixture of a Linear Mixed Model...
Summary of generalised linear mixed model (GLMM) estimates and test statistics.</p
<p>Code and data for General and Generalized Linear Mixed Models workshop (Michel 2014, slides avail...
Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approxi...
This working paper has a twofold goal. On one hand, it provides a recap of Linear Mixed Models (LMM...
Generalized linear mixed models provide a flexible framework for modeling a range of data, although ...
The generalized linear mixed model (GLMM) generalizes the standard linear model in three ways: accom...
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins ...
We devise a classification algorithm based on generalized linear mixed model (GLMM) technology. The ...
Abstract. A nonparametric smoothing method for assessing the adequacy of generalized linear mixed mo...
This book covers two major classes of mixed effects models, linear mixed models and generalized line...
Generalized linear mixed models (GLMMs) provide statisticians, scientists, and analysts great flexib...
Generalized linear mixed model (GLMM) results for the effects of aseptic technique and pouch designs...
Generalized linear mixed models provide a flexible framework for modeling a range of data, although ...
(from the chapter) This chapter presents a method based on a structural equation modeling (SEM) fram...
The Generalized Linear Mixed Model (GLMM) is a natural extension and mixture of a Linear Mixed Model...
Summary of generalised linear mixed model (GLMM) estimates and test statistics.</p
<p>Code and data for General and Generalized Linear Mixed Models workshop (Michel 2014, slides avail...
Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approxi...
This working paper has a twofold goal. On one hand, it provides a recap of Linear Mixed Models (LMM...
Generalized linear mixed models provide a flexible framework for modeling a range of data, although ...
The generalized linear mixed model (GLMM) generalizes the standard linear model in three ways: accom...
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins ...
We devise a classification algorithm based on generalized linear mixed model (GLMM) technology. The ...
Abstract. A nonparametric smoothing method for assessing the adequacy of generalized linear mixed mo...
This book covers two major classes of mixed effects models, linear mixed models and generalized line...
Generalized linear mixed models (GLMMs) provide statisticians, scientists, and analysts great flexib...
Generalized linear mixed model (GLMM) results for the effects of aseptic technique and pouch designs...
Generalized linear mixed models provide a flexible framework for modeling a range of data, although ...