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Author, "Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood"

Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including combining information over trials (meta-analysis), analysis of frailty models for survival data, genetic epidemiology, and analysis of spatial and temporal models with correlated errors. Written by pioneering authorities in the field, this reference provides an introduction to various theories and examines likelihood inference and GLMs. The authors show how to extend the class of GLMs while retaining as much simplicity as possible. By maximizing and deriving other quantities from h-likelihood, they also demonstrate how to use a single algorithm for all members of the class, resulting in a faster algorithm as compared to existing alternatives. Complementing theory with examples, many of which can be run by using the code supplied on the accompanying CD, this book is beneficial to statisticians and researchers involved in the above applications as well as quality-improvement experiments and missing-data analysis.

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	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
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	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
	Science/Engineering Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models (Repost) Erik W. Grafarend, "Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models" Walter de Gruyter 2006 \| ISBN:3110162164 \| 752 pages \| PDF \| 4,4 MB This monograph contains a thorough treatment of methods for solving ove ...
	Software Related Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Author: Julian J. FarawayPublisher: Chapman & Hall/CRC; 1 editionPublish Date: December 20, 2005ISBN: 158488424XPages: 312Linear models are central to the practice of statistics and form the foundation of a vast range of statistical met ...
	Science/Engineering Applied Regression Analysis and Generalized Linear Models Author: John Fox (Author)Publisher: Sage Publications, Inc; 2nd edition (April 16, 2008)Publish Date: 2008ISBN: 0761930426Pages: 688Product Description Combining a modern, data-analytic perspective with a focus on applications in the social ...
	Mathematics Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed ModelsErik W. Grafarend Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models" Walter de Gruyter \| 2006 \| ISBN:3110162164 \| 752 pages \| PDF \| 4.4 M ...
	Mathematics Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood (Monographs on Statistics and Applied Probabi Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood (Monographs on Statistics and Applied Probability)Chapman & Hall/CRC \| ISSN: 1584886315 \| 2006-07-13 \| PDF \| 416 Pages \| 3,6 Mb Since their introduction in 197 ...

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