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Linear and Generalized Linear Mixed Models and Their Applications

Linear and Generalized Linear Mixed Models and Their Applications

Hardcover

Series: Springer Statistics

Medical ReferenceProbability & Statistics

ISBN10: 1071612816
ISBN13: 9781071612811
Publisher: Springer Nature
Published: Mar 23 2021
Pages: 343
Weight: 1.50
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

Now in its second edition, this book covers two major classes of mixed effects models--linear mixed models and generalized linear mixed models--and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics.

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