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Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition

$74.50 each

Brady T. West, Kathleen B. Welch, and Andrzej T. Galecki
Publisher: Chapman & Hall/CRC
Copyright: 2014
ISBN-13: 978-1-46656-099-4
Pages: 440; hardcover
Price: $74.50

Comment from the Stata technical group

The second edition of Linear Mixed Models: A Practical Guide Using Statistical Software provides an excellent first course in the theory and methods of linear mixed models.

Topics covered include fixed versus random effects, properties of estimators, nested versus crossed factors, tests of hypotheses for fixed effects (including degrees-of-freedom calculations), tests of hypotheses for variance components including likelihood-ratio tests for nested random-effects structures, approaches for fitting mixed models to complex survey data, Bayesian inference for linear mixed models, and various model diagnostics. The book also covers power analysis for longitudinal and clustered designs, which is essential for the design of a study.

In addition, the text provides a thorough and up-to-date guide through the major software applications for linear mixed models, namely, Stata, SAS, R, SPSS, and HLM. Each chapter highlights a different software package and teaches you the basics of fitting mixed models therein. The book also includes tables that compare the packages by reviewing the results obtained from fitting identical models and explaining any differences encountered.

If you wish to fit linear mixed models, whether in Stata or elsewhere, we recommend this text.

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