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SAS for Mixed Models 2nd Edition
The subject of mixed linear models is taught in graduate-level statistics courses and is familiar to most statisticians. During the past 10 years, use of mixed model methodology has expanded to nearly all areas of statistical applications. It is routinely taught and applied even in disciplines outside traditional statistics. Nonetheless, many persons who are engaged in analyzing mixed model data have questions about the appropriate implementation of the methodology. Also, even users who studied the topic 10 years ago may not be aware of the tremendous new capabilities available for applications of mixed models.
Like the first edition, this second edition presents mixed model methodology in a setting that is driven by applications. The scope is both broad and deep. Examples are included from numerous areas of application and range from introductory examples to technically advanced case studies. The book is intended to be useful to as diverse an audience as possible, although persons with some knowledge of analysis of variance and regression analysis will benefit most.
Since the first edition of this book appeared in 1996, mixed model technology and mixed model software have made tremendous leaps forward. Previously, most of the mixed model capabilities in the SAS System hinged on the MIXED procedure. Since the first edition, the capabilities of the MIXED procedure have expanded, and new procedures have been developed to implement mixed model methodology beyond classical linear models. The NLMIXED procedure for nonlinear mixed models was added in SAS 8, and recently the GLIMMIX procedure for generalized linear mixed models was added in SAS 9.1. In addition, ODS and ODS statistical graphics provide powerful tools to request and manage tabular and graphical output from SAS procedures. In response to these important advances we not only brought the SAS code in this edition up-to-date with SAS 9.1, but we also thoroughly re-examined the text and contents of the first edition. We rearranged some topics to provide a more logical flow, and introduced new examples to broaden the scope of application areas.
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