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Linear Mixed Models: A Practical Guide Using Statistical Software

New edition forthcoming

Authors:
Brady T. West, Kathleen B. Welch, and Andrzej T. Galecki
Publisher: Chapman & Hall/CRC
Copyright: 2007
ISBN-13: 978-1-58488-480-4
Pages: 353; hardcover

Comment from the Stata technical group

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 discussions of 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, and various model diagnostics.

The text also 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 of five middle chapters highlights a different software package and teaches you the basics of fitting mixed models therein. Tables comparing each package show the results obtained from fitting identical models, as well as 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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