About This Book
Purpose
SAS University Edition and its user interface, SAS Studio, have become very popular. SAS Studio can also be used with standard versions of SAS, perhaps as an alternative to SAS Enterprise Guide. SAS Studio includes built-in tasks for importing data from external files (Excel, for example) and, best of all, it includes point-and-click statistical tasks for just about any statistical study. This book will benefit the reader by doing the following:
1. Providing step-by-step instructions, complete with screen shots, of how to use SAS University Edition and SAS Studio to perform most statistical queries.
2. Discussing the theory behind each statistical test, with emphasis on the assumptions that need to be satisfied before running each test.
3. Helping the reader negotiate some of the trickier aspects of running SAS University Edition. For example, this book explains how to access files on a local hard drive and make them available on the virtual machine where SAS is running.
4. Providing a detailed explanation of the output produced by each statistical procedure.
5. Presenting practice problems (with solutions to the odd-numbered problems).
Is This Book for You?
The audience for this book consists mostly of students in a statistics or a biostatistics class. Although the book uses biostatistical examples, students in other classes such as educational or business statistics will also benefit. In addition, data analysts in the pharmaceutical industry will also find valuable information in this book.
Prerequisites
There is NO prerequisite for readers of this book. It is written with the assumption that the reader has never used SAS before.
Scope of This Book
The first section of this book explains how to install the SAS University Edition and the virtualization software needed to run it. Readers of this book may also be using SAS Studio with a standard edition of SAS (as opposed to the SAS University Edition).
Subsequent chapters describe how to import data from a variety of sources such as Excel workbooks and CSV files.
Following these chapters is a chapter on using the SAS Studio tasks to perform descriptive statistics, the first step in almost any data analysis project.
Most of the remaining chapters cover all the basic statistical tests commonly used in biostatistical analysis.
A final chapter is devoted to sample size and power calculations. This topic is not usually covered in a book of this type, even though it is a very important topic.
After reading this book, you will be able to understand temporary and permanent SAS data sets and how to create them from various data sources. The reader will also be able to use SAS Studio Statistics tasks to generate descriptive statistics for continuous and categorical data.
The inferential statistics portion of the book covers the following:
• Paired and unpaired t tests
• One-way analysis of variance
• N-Way ANOVA
• Correlation
• Simple and multiple regression
• Logistic regression
• Categorical data analysis
• Power and sample size calculations
About the Examples
Software Used to Develop the Book"s Content
All of the statistical tasks described and demonstrated in this book are available to anyone using SAS Studio, either as part of SAS University Edition or as an interface to standard versions of SAS.
SAS University Edition
If you are using SAS University Edition, you can use the code and data sets provided with this book. This helpful link will get you started: http://support.sas.com/publishing/import_ue.data.html.
Exercise Solutions
Each chapter, starting with Chapter 3, includes a set of problems for the reader to test his or her skills. Solutions to the odd-numbered problems are included in the book—solutions to the even-numbered problems are available from SAS Institute, on request.
Additional Help
Although this book illustrates many analyses regularly performed in businesses across industries, questions specific to your aims and issues may arise. To fully support you, SAS Institute and SAS Press offer you the following help resources:
• For questions about topics covered in this book, contact the author through SAS Press:
◦ Send questions by email to [email protected]; include the book title in your correspondence.
◦ Submit feedback on the author’s page athttp://support.sas.com/publishing/bbu/companion_site/info.html.
• For questions about topics in or beyond the scope of this book, post queries to the relevant SAS Support Communities at https://communities.sas.com/.
• SAS Institute maintains a comprehensive website with up-to-date information. One page that is particularly useful to both the novice and the seasoned SAS user is its Knowledge Base. Search for relevant notes in the “Samples and SAS Notes” section of the Knowledge Base at http://support.sas.com/resources.
• Registered SAS users or their organizations can access SAS Customer Support athttp://support.sas.com. Here you can pose specific questions to SAS Customer Support; under Support, click Submit a Problem. You will need to provide an email address to which replies can be sent, identify your organization, and provide a customer site number or license information. This information can be found in your SAS logs.
Keep in Touch
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Contact the Author through SAS Press
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• Via the web: http://support.sas.com/publishing/bbu/companion_site/info.html
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