SAS for Mixed Models: Introduction and Basic Applications

by Walter W. Stroup PhD, George A. Milliken PhD, Elizabeth A. Claassen PhD, Russell D. Wolfinger PhD

Overview

Discover the power of mixed models with SAS. Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS.

This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics:

• Random-effect-only and random-coefficients models
• Multilevel, split-plot, multilocation, and repeated measures models
• Hierarchical models with nested random effects
• Analysis of covariance models
• Generalized linear mixed models

This book is part of the SAS Press program.

Product Details

ISBN-13:	9781635261523
Publisher:	SAS Institute
Publication date:	12/12/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	608
Sales rank:	601,625
File size:	28 MB
Note:	This product may take a few minutes to download.

About the Author

Walter W. Stroup, PhD, is a professor in the Department of Statistics at the University of Nebraska–Lincoln. He teaches statistical design, analysis, and modeling. A SAS user since 1976, he is the author of three previous mixed and linear modeling books. He is a member of the Stability Shelf Life Working Group of the Product Quality Research Institute and received its Outstanding Researcher Award. He chaired Nebraska’s Biometry Department from 2001 to 2003 and was founding chair of Nebraska’s Statistics Department from 2003 to 2010. He is a Fellow of the American Statistical Association.
George A. Milliken, PhD, is an emeritus professor of statistics at Kansas State University, where he has taught for 38 years, and a consultant on study design, analysis, and reporting. His research emphases are linear and nonlinear mixed models and complex study design, and he has published more than 120 papers. He has been a SAS user since 1972. He is the co-author of the three-volume set of books titled Analysis of Messy Data. In 2016, he received the Dixon Award for Excellence in Statistical Consulting from the American Statistical Association, where he is a Fellow.
Elizabeth A. Claassen, PhD, is Senior Associate Research Statistician Developer in the JMP division of SAS. Dr. Claassen has 9 years’ experience with SAS software and 5 years’ experience with JMP. Her chief interest is generalized linear mixed models, and she brings to this work her expertise with SAS GLM, MIXED, GLIMMIX, and NLMIXED procedures.
Russell D. Wolfinger, PhD, is Director of Scientific Discovery and Genomics at SAS, a department he started, where he leads research and development of JMP and SAS software solutions in the domains of genomics and clinical trials. Dr. Wolfinger devoted 10 years to developing and promoting SAS statistical procedures for mixed models and multiple testing. He has co-authored more than 100 publications, including three books. He is a Kaggle Grandmaster, as well as a Fellow of both the American Association for the Advancement of Science and the American Statistical Association.