9780470552636

SAS Essentials : A Guide to Mastering SAS for Research

by ;
  • ISBN13:

    9780470552636

  • ISBN10:

    0470552638

  • Format: eBook
  • Copyright: 2009-11-01
  • Publisher: Jossey-Bass
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Summary

SAS Essentials provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. Through its straightforward approach, the text presents SAS with step-by-step examples. With over fifteen years of teaching SAS courses and over fifty combined years of teaching and consulting by the authors, this valuable reference presents data manipulation and statistical techniques, including a website with examples. This textbook is essential for teachers because the chapters are self-contained and may be used accordingly to the teacherrs"s preference, whether for a one-semester or two-semesters course.

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
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
Table of Contents provided by Publisher. All Rights Reserved.

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