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Linear mixed models : : a practical guide using statistical software

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內容簡介top Linear Mixed Models 簡介 This second edition updates the case studies using the latest versions of the software procedures, covers additional topics in the application of linear mixed models, and provides up-to-date information on fitting linear mixed models in SAS, SPSS, Stata, R/S-plus, and HLM. This edition presents software procedures capable of fitting models with crossed random effects, uses the lmer() function in the lme4 package in R, fits linear mixed models to complex sample survey data, discusses Bayesian approaches to making inferences based on linear mixed models, and offers power analysis methods for longitudinal and clustered study designs.

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