SAS for Mixed Models 2nd (second) edition Text Only

by Ramon C. Littell

The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely revised and updated for SAS9. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these random effect only and random coefficients models split-plot, multilocation, and repeated measures models hierarchical models with nested random effects analysis of covariance models spatial correlation models generalized linear mixed models nonlinear mixed models

Paperback

First published January 1, 1996

Reviews

[James Slaven · Rating 3 out of 5]

Great for code, but I’m always disappointed when they don’t give much theory (as SAS has occasionally done).

[Jennifer · Rating 5 out of 5]

What a godsend. Everything you need to know about using mixed models in SAS, plus the essentials of mixed-models theory that didn't quite make it through your thick head the first time around.