Non-Fiction Books:

Generalized Linear Mixed Models

Modern Concepts, Methods and Applications

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Generalized Linear Mixed Models by Walter W. Stroup
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This text covers statistical modeling using generalized linear mixed models (GLMMs) as the organizing tool. After an overarching introduction to modeling from a contemporary perspective, the book presents the main theory and methods used for setting up estimation and inference for GLMMs. It also describes the major classes of applications with case studies from biostatistics and epidemiology. SAS is included throughout while R is used when SAS does not work well with the GLMM.
Release date Australia
September 24th, 2012
Country of Publication
United States
374 Tables, black and white; 85 Illustrations, black and white
CRC Press Inc
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