Wow! eBook
SAS Essentials: A Guide to Mastering SAS for Research
Author(s): Alan C. Elliott (Author), Wayne A. Woodward (Author)
- Publisher: John Wiley & Sons
- Publication Date: 19 Jan. 2010
- Language: English
- Print length: 350 pages
- ISBN-10: 0470461292
- ISBN-13: 9780470461297
Book Description
Editorial Reviews
From the Back Cover
SAS Essentials
SAS is the most commonly used statistical data analysis tool for scientific research worldwide. SAS enables researchers to perform data entry, retrieval, management, and mining; report writing and graphics; statistical analysis; and other essential applications.
SAS Essentials introduces a step–by–step approach to mastering SAS software for statistical data analysis. It′s also a valuable reference tool for any researcher currently using SAS. Designed for those new to SAS and filled with illustrative examples, the book shows how to read, write and import data; prepare data for analysis; use SAS procedures; evaluate quantitative data; analyze counts and crosstabulation tables; and compare means using the t–test. The book also provides instruction and examples on analysis of variance, correlation and regression, nonparametric analysis, logistic regression, creating graphs, controlling outputs using ODS, as well as advanced topics in SAS programming.
Written by Alan C. Elliott and Wayne A. Woodward two experts in the field SAS Essentials uses examples based on SAS 9.2 for Windows, although most of the examples will work with any Windows version of SAS.
Data sets used in the book′s examples are available on an accompanying web site.
About the Author
The Authors
Alan C. Elliott is a biostatistician and faculty member in the Department of Clinical Sciences at the University of Texas Southwestern Medical Center at Dallas. A prolific writer, he is the author or coauthor of Directory of Microcomputer Statistical Software, Microcomputing with Applications, Getting Started in Internet Auctions, Statistical Analysis Quick Reference Guidebook, and other books.
Wayne A. Woodward is a professor of statistics and chair of the Department of Statistical Science at Southern Methodist University. He is a fellow of the American Statistical Association and was the 2004 recipient of the Don Owen award for excellence in research, statistical consulting, and service to the statistical community. During the last 30 years he has served as statistical consultant to a wide variety of clients in the scientific community.
