Linear Mixed Models Av Brady T. (university Of Michigan Ann Arbor Usa) West, Kathleen B. Welch, Andrzej T (university Of Michigan Ann Arbor Usa) Galec

<P>Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition continues to lead readers step-by-step through the process of fitting LMMs. </P><P>The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples have been updated, with a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included, and there is a new chapter on power analysis for mixed-effects models.</P><P><STRONG>Features:<BR></STRONG>¿Dedicates an entire chapter to the key theories underlying LMMs for clustered, longitudinal, and repeated measures data<BR>¿Pro

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