SAS Essentials : A Guide to Mastering SAS for Research

by Elliott, Alan C.; Woodward, Wayne A.

• ISBN13: 9780470461297
• ISBN10: 0470461292
• Format: Paperback
• Copyright: 2009-12-30
• Publisher: Jossey-Bass

Summary

SAS EssentialsSAS 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.

Author Biography

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.

Table of Contents

Preface

Getting Started

Using SAS in a Windows Environment

Your First SAS Analysis

How SAS Works

Tips and Tricks for Running SAS Programs

Summary

Exercises

Getting Data into SAS

Understanding SAS Data Sets

Understanding SAS Data Set Structure

Rules for SAS Variable Names

Understanding Three SAS Variable Types

Methods of Reading Data into SAS

Going Deeper: More Techniques for Entering Data

Summary

Exercises

Reading, Writing, and Importing Data

Working with SAS Libraries and Permanent Data Sets

Reading and Creating Permanent SAS Data Sets Using the Windows File

Name Technique

Reading Data from Permanent SAS Data Sets

Reading and Creating Permanent SAS Data Sets Using a SAS Library

Creating a SAS Library Using a Dialog Box

Importing Data from Another Program

Going Deeper: More Ways to Manage Data

Going Deeper: Importing Microsoft Excel Data Using SAS Code

Discovering the Contents of a SAS Data Set

Summary

Exercises

Preparing Data for Analysis

Labeling Variables with Explanatory Names

Creating New Variables

Using DROP and KEEP to Select Variables

Subsetting Data Sets

Using the SET Statement to Read an Existing Data Set

Using PROC SORT

Appending and Merging Data Sets

Going Deeper: Using PROC FORMAT

Summary

Exercises

Preparing to Use SAS Procedures

Understanding SAS Support Statements

Understanding PROC Statement Syntax

Using the ID Statement in a SAS Procedure

Using the LABEL Statement in a SAS Procedure

Using the WHERE Statement in a SAS Procedure

Using PROC PRINT

Going Deeper: Introducing the SAS Output Delivery System (ODS)

Summary

Exercises

Evaluating Quantitative Data

Using PROC MEANS

Using PROC UNIVARIATE

Going Deeper: Advanced PROC UNIVARIATE Options

Summary

Exercises

Analyzing Counts and Tables

Using PROC FREQ

Analyzing One-Way Frequency Tables

Creating One-Way Frequency Tables from Summarized Data

Analyzing Two-Way Tables

Going Deeper: Calculating Relative Risk Measures

Going Deeper: Inter-Rater Reliability (Kappa)

Summary

Exercises

Comparing Means Using t-tests

Performing a One-Sample t-test

Performing a Two-Sample t-test

Performing a Paired t-test

Summary

Exercises

Analysis of Variance

Comparing Three or More Means Using One-Way Analysis of Variance

Comparing Three or More Repeated Measures

Going Deeper: Graphing Mean Comparisons

Summary

Exercises

Correlation and Regression

Correlation Analysis Using PROC CORR

Simple Linear Regression

Multiple Linear Regression Using PROC REG

Going Deeper: Calculating Predictions

Going Deeper: Residual Analysis

Summary

Exercises

Nonparametric Analysis

Comparing Two Independent Samples Using NPAR1WAY

Comparing k Independent Samples (Kruskal-Wallis)

Comparing Two Dependent (Paired) Samples

Comparing k Dependent Samples (Friedman's Test)

Going Deeper: Nonparametric Multiple Comparisons

Summary

Exercises

Logistic Regression

Logistic Analysis Basics

Performing a Logistic Analysis using PROC LOGISTIC

Using Simple Logistic Analysis

Multiple Binary Logistic Analysis

Going Deeper: Assessing a Model's Fit and Predictive Ability

Summary

Exercises

Analysis of Variance

Part II Analysis of Covariance

Going Deeper: Two-Factor ANOVA Using PROC MIXED

Going Deeper: Repeated Measures with a Grouping Factor

Summary

Exercises

Creating Graphs

Creating Scatterplots and Line Graphs Using GPLOT

Creating Bar Charts and Pie Charts

Creating Stacked Bar Charts

Creating Mean Bars Using GCHART

Creating Boxplots

Going Deeper: ODS Graphics

Summary

Exercises

Controlling Output Using ODS

Specifying the ODS Output Format and Destination

Specifying ODS Output Style

Using ODS to Select Specific Output Tables for Procedures

Going Deeper: Enhancing Graphics Using ODS and Creating Hyperlinks

Going Deeper: Capturing Information from ODS Tables

Extended ODS Features

Summary

Exercises

Advanced SAS Programming Topics

Reading and Writing Data Using DDE

Using the RETAIN Statement

Arrays and DO Loops

Transposing Data Sets

Using SAS Macros

Summary

Exercises

SAS Graph Options Reference

Using SAS Fonts

Specifying SAS Color Choices

Specifying Patterns for PROCS GPLOT and PROC UNIVARIATE

Bar and Block Patterns for Bar Charts, Pie Charts, and Other Graphics

SAS Line Styles

Using SAS Plotting Symbols

SAS Function Reference

Using SAS Functions

Arithmetic/Mathematical Functions

Trignometric Functions

Date and Time Functions

Character Functions

Truncation Functions

Special Use Functions

Financial Functions

Working with Previous Observations

Miscellaneous Functions

Choosing a SAS Procedure

Descriptive Statistics

Comparison Tests

Relational Analyses (Correlation and Regression)

Quick Reference

References

Index

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