Biostatistics by Example Using SAS Studio

Ron Cody

Description

Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks.

Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio, provides an introduction to SAS Studio tasks. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition.

After reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn how to create them from various data sources. You 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 topics:

• 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

Besides describing each of these statistical tests, the book also discusses the assumptions that need to be met before running and interpreting these tests. For two-sample tests and N-way tests, nonparametric tests are also described.

This book leads you step-by-step through each of the statistical tests with numerous screen shots, and you will see how to read and interpret all of the output generated by these tests.

Experience with some basic statistical tests used to analyze medical data or classroom experience in biostatistics or statistics is required. Although the examples are related to the medical and biology fields, researchers in other fields such as psychology or education will find this book helpful. No programming experience is required.

Loading data files into SAS University Edition? Click here for more information.

Informations

• Publié par: SAS Institute
• Date de parution: 22 septembre 2016
• Nombre de lectures: 0
• EAN13: 9781629604930
• Langue: English
• Poids de l'ouvrage: 23 Mo

Extrait

Biostatistics by Example Using SAS Studio
Ron Cody
support.sas.com/bookstore
The correct bibliographic citation for this manual is as follows: Cody, Ron. 2016. Biostatistics by Example Using SAS Studio . Cary, NC: SAS Institute Inc.
Biostatistics by Example Using SAS Studio
Copyright 2016, SAS Institute Inc., Cary, NC, USA
ISBN 978-1-62960-328-5 (Hard copy) ISBN 978-1-62960-493-0 (EPUB) ISBN 978-1-62960-494-7 (MOBI) ISBN 978-1-62960-495-4 (PDF)
All Rights Reserved. Produced in the United States of America.
For a hard copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc.
For a web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication.
The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. Please purchase only authorized electronic editions and do not participate in or encourage electronic piracy of copyrighted materials. Your support of others rights is appreciated.
U.S. Government License Rights; Restricted Rights: The Software and its documentation is commercial computer software developed at private expense and is provided with RESTRICTED RIGHTS to the United States Government. Use, duplication, or disclosure of the Software by the United States Government is subject to the license terms of this Agreement pursuant to, as applicable, FAR 12.212, DFAR 227.7202-1(a), DFAR 227.7202-3(a), and DFAR 227.7202-4, and, to the extent required under U.S. federal law, the minimum restricted rights as set out in FAR 52.227-19 (DEC 2007). If FAR 52.227-19 is applicable, this provision serves as notice under clause (c) thereof and no other notice is required to be affixed to the Software or documentation. The Government s rights in Software and documentation shall be only those set forth in this Agreement.
SAS Institute Inc., SAS Campus Drive, Cary, NC 27513-2414
September 2016
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. indicates USA registration.
Other brand and product names are trademarks of their respective companies.
SAS software may be provided with certain third-party software, including but not limited to open-source software, which is licensed under its applicable third-party software license agreement. For license information about third-party software distributed with SAS software, refer to http://support.sas.com/thirdpartylicenses
Contents
About This Book
About The Author
Acknowledgments
Chapter 1: What Is the SAS University Edition?
Introduction
How to Download the SAS University Edition
Conclusions
Chapter 2: SAS Studio Tasks
Introduction
Using the Built-in Tasks
Taking a Tour of the Navigation Pane
Exploring the LIBRARIES Tab
Moving Columns
Sorting Columns
Filtering a Table (subsetting rows)
Conclusion
Chapter 3: Importing Data into SAS
Introduction
Exploring the Utilities Tab
Importing Data from an Excel Workbook
Listing the SAS Data Set
Importing an Excel Workbook with Invalid SAS Variable Names
Importing an Excel Workbook That Does Not Have Column Headings
Importing Data from a CSV File
Shared Folders (Accessing Data from Anywhere on Your Hard Drive)
Demonstrating How to Read Data from a Shared Folder
Conclusions
Problems
Chapter 4: Reading Data from Text Files
Introduction
Understanding the Work Area
Some Basic Rules of SAS Programs
Writing a Program to Read a Text File Where Data Values Are Separated by Delimiters
Viewing Errors and Warnings
Reading CSV Files
Reading Text Files with Other Delimiters
Setting the Length of Character Variables
Reading Text Data in Fixed Columns
Conclusions
Problems
Chapter 5: Descriptive Statistics - Univariate Analysis
Introduction
Generating Descriptive Statistics for Continuous Variables
Investigating the Distribution for Systolic Blood Pressure
Adding a Classification Variable in the Summary Statistics Tab
Describing Categorical Variables
Editing the SAS Code Generated by the One-Way Frequencies Statistics Task
Conclusions
Problems
Chapter 6: One-Sample Tests
Introduction
Performing a One-Sample t Test
Nonparametric One-sample Tests
Conclusions
Problems
Chapter 7: Two-Sample Tests
Introduction
Unpaired t Test (t Test for Independent Groups)
Nonparametric Two-sample Tests
Paired t Test
Conclusions
Problems
Chapter 8: Comparing More Than Two Means (ANOVA)
Introduction
Performing a One-Way Analysis of Variance
Performing a Nonparametric One-Way Tests
Conclusions
Problems
Chapter 9: N-Way ANOVA
Introduction
Performing a Two-Way Analysis of Variance
Selecting a Random Sample
Using the N-Way ANOVA Task
Interpreting the Two-Way ANOVA Results
Interpreting Models with Significant Interactions
Conclusions
Problems
Chapter 10: Correlation
Introduction
Creating a Permanent SAS Data Set
Reading the Exercise.xls Workbook and Creating a Permanent SAS Data Set
Using the Statistics Correlation Task
Generating Correlation and Scatter Plot Matrices
Interpreting Correlation Coefficients
Generating Spearman Non-Parametric Correlations
Conclusions
Problems
Chapter 11: Simple and Multiple Regression
Introduction
Describing Simple Linear Regression
Understanding the Diagnostic Plots
Demonstrating Multiple Regression
Demonstrating Stepwise Multiple Regression
Conclusions
Problems
Chapter 12: Binary Logistic Regression
Introduction
Preparing the Birth Weight Data Set for Logistic Regression
Selecting Reference Levels for Your Model
Conclusions
Problems
Chapter 13: Analyzing Categorical Data
Introduction
Describing the Heart_Attack Data Set
Computing One-Way Frequencies
Creating Formats
Producing One-Way Tables with Formats
Creating Two-Way Tables
Using Formats to Reorder the Rows and Columns of a Table
Computing Chi-Square from Frequency Data
Analyzing Tables with Low Expected Values
Conclusions
Problems
Chapter 14: Computing Power and Sample Size
Introduction
Computing Sample Size for a t Test
Calculating the Sample Size for a Test of Proportions
Computing Sample Size for a One-Way ANOVA Design
Conclusions
Problems
Instructions for Problem Sets
How to Use the Problem Set Data Files
How to Create a SAS Library
Using a SAS Data Set in the PROBLEMS Library
Appendix: Solutions to the Odd-Numbered Problems
Index
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 fina