Modeling Posidonia oceanica growth data: from linear to generalized linear mixed models

An Introduction to Categorical Data Anal

An Introduction to Categorical Data Analysis || Random Effects: Generalized Linear Mixed Models

✍ Agresti, Alan 📂 Article 📅 2007 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 314 KB 👁 3 views

**Praise for the First Edition** "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." —*Short Book Reviews* "Of great interest to potential readers is the variety of fields that are represented in the examp

Modeling continuous auxiliary covariate

Modeling continuous auxiliary covariate data in generalized linear mixed models using the kernel smoother

✍ Jianwei Chen; Chii-Dean Lin 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 256 KB 👁 3 views

An Introduction to Categorical Data Anal

An Introduction to Categorical Data Analysis || Generalized Linear Models

✍ Agresti, Alan 📂 Article 📅 2007 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 488 KB 👁 3 views

**Praise for the First Edition** "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." —*Short Book Reviews* "Of great interest to potential readers is the variety of fields that are represented in the examp

Choosing among generalized linear models

Choosing among generalized linear models applied to medical data

✍ J. K. Lindsey; B. Jones 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 700 KB

When testing for a treatment effect or a difference among groups, the distributional assumptions made about the response variable can have a critical impact on the conclusions drawn. For example, controversy has arisen over transformations of the response (Keene). An alternative approach is to use s

Using the general linear mixed model to

Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data

✍ Avital Cnaan; Nan M. Laird; Peter Slasor 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 336 KB 👁 3 views

The general linear mixed model provides a useful approach for analysing a wide variety of data structures which practising statisticians often encounter. Two such data structures which can be problematic to analyse are unbalanced repeated measures data and longitudinal data. Owing to recent advances

A semi-parametric Bayesian approach to g

A semi-parametric Bayesian approach to generalized linear mixed models

✍ Ken P. Kleinman; Joseph G. Ibrahim 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 170 KB 👁 2 views

The linear mixed effects model with normal errors is a popular model for the analysis of repeated measures and longitudinal data. The generalized linear model is useful for data that have non-normal errors but where the errors are uncorrelated. A descendant of these two models generates a model for