SAS Essentials: A Guide to Mastering SAS for Research

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9780470461297: SAS Essentials: A Guide to Mastering SAS for Research

SAS Essentials provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. Through its straightforward approach, the text presents SAS with step-by-step examples. With over fifteen years of teaching SAS courses and over fifty combined years of teaching and consulting by the authors, this valuable reference presents data manipulation and statistical techniques, including a website with examples. This textbook is essential for teachers because the chapters are self-contained and may be used accordingly to the teacher?s preference, whether for a one-semester or two-semesters course.

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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.

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