Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures.
Featuring self-contained chapters to enhance the learning process, the Second Edition also includes:. SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses.
The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.
Alan C. Wayne A. Click to read or download. Hanneman, Robert A. Spaulding, Dean T.
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Barkley, Elizabeth F. Author s Elliott, Alan C. 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 recipient of the Don Owen award for excellence in research, statistical consulting, and service to the statistical community. 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.
SAS enables researchers to perform data entry, retrieval, management, and mining; report writing and graphics; statistical analysis; and other essential applications. Elliott Wayne A.
Sas Essentials Guide Mastering Research by Alan Elliott Wayne Woodward
Woodward ffirs. All rights reserved. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.
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Jossey-Bass also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic books. Includes bibliographical references and index. ISBN pbk. SAS Computer file 2. Mathematical statistics—Data processing. Woodward, Wayne A.
E SAS file opened 1. SAS 1. The book can be used in an SAS computer lab associated with an introductory statistics course, as a stand-alone SAS introductory course, or as a self-paced tutorial. Each chapter is designed so that the material can usually be covered in a one-hour computer lab class. Although there are millions of SAS installations around the world, there is a steep learning curve involved in mastering the program. This book is a straightforward approach developed from more than fifteen years of teaching introductory SAS courses for scientific researchers and more than fifty combined years of teaching and consulting by the authors.
This book uses a hands-on programming approach to teaching SAS.
18 Free Resources to help you learn SAS
It includes techniques for entering and manipulating data combined with step-by-step instructions for analyzing the data using commonly taught introductory applied statistical techniques. However, the vast majority of the examples will work with any Windows version of SAS.
With that in mind, this book integrates information from discussions with colleagues over several years who contributed ideas to the selection of content for this book. Several colleagues helped by reading early versions and providing suggestions on various topics from their area of expertise.
These include Terry D. Alan C. Woodward Dallas, Texas flast. Elliott has been a faculty member at the University of Texas Southwestern Medical Center at Dallas, currently in the Center for Biostatistics and Clinical Science, for more than 25 years. He has authored or coauthored a number of scientific articles and more than a dozen books on a wide variety of subjects including the Directory of Microcomputer Statistical Software, Microcomputing with Applications, Getting Started in Internet Auctions, Currents in American History, and the Statistical Analysis Quick Reference Guide.
He has taught courses in statistics, research methods and computing including SAS and SPSS at the university for more than fifteen years and has been a collaborator on numerous medical research projects. In he received the Don Owen Award, given annually by the San Antonio chapter of the American Statistical Association, for recognition of his contributions in the areas of research, consulting, and service to the statistical community.
SAS Essentials : Alan C. Elliott :
Wayne is an active researcher, having published more than 60 research articles. His primary research interests lie in the area of statistical time series analysis with applications in the analysis of brain imaging and EEG data and in outlier detection. The SAS system is a powerful software program designed to give researchers a wide variety of both data management and data analysis capabilities. Although SAS has millions of users worldwide, it is not the simplest program to learn.
Two main concepts are involved in learning SAS: first, how to get data into SAS and ready for analysis, and second, how to perform the desired data analysis. We assume that you have already installed SAS on your computer. Most differences across computers have to do with file references. Creating a Folder for Storing Your SAS Files Because there are several versions of Windows currently in use, we present general guidelines that should work in any one of them. Follow the installation instructions provided on the Web site.
The Web site may also include updates concerning the information in this book. Henceforth we will refer to this simply as the SAS icon.
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The top right window is the Log window, and at the bottom right is the Editor. There are other SAS windows that are not currently visible. These include the Output and Graph windows. A tab for the Output window does appear on the initial screen. To open a SAS window that is not currently visible, click its tab at the bottom of the screen. Briefly, here are the purposes of these windows. It is like a simple word processor. When you open a previously saved SAS program, its contents will appear in this window.
You can also copy or cut text from another editor or word processor and paste it into the Editor window. Log: When you run a SAS program, a report detailing how and if the program ran appears in the Log window. Typically, when you run a SAS program, you first look at the contents of the Log window to see if any errors in the program were reported.
The Log highlights errors in red. You should also look for warnings and other notes in the Log window which tell you that some part of your program may not have run correctly.
The Explorer tab currently shown in Figure 1. This will be described in detail in Chapter 3. Output: Once you run a SAS program that creates analysis output, the Output window is automatically displayed. This window contains the results also called the listing of your SAS job. If it does not appear, click the Output tab to display this window.
Usually such output is displayed by default. If it does not appear, click the Graph tab not shown in Figure 1. Move from window to window by clicking on the tabs which are analogous to the tabs on the Windows taskbar or by pressing an appropriate function key. If you close one of the windows, its tab at the bottom of the SAS screen will disappear and you will need to go to the View pull-down menu and select the appropriate window name to redisplay the element that you closed.
The following steps show you how to open a SAS program file, analyze the data in the file, and create statistical output. Our first example is a quick overview of how SAS works.
The remainder of the book teaches you how to create and run SAS programs.