9780470461297

SAS Essentials : A Guide to Mastering SAS for Research

by ;
  • ISBN13:

    9780470461297

  • ISBN10:

    0470461292

  • Format: Paperback
  • Copyright: 2009-12-30
  • Publisher: Jossey-Bass

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Supplemental Materials

What is included with this book?

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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