SAS Essentials A Guide to Mastering SAS for Research

Name: SAS Essentials A Guide to Mastering SAS for Research
Price: 3.86 USD
Availability: InStock
ISBN: 9780470461297

ISBN-10: 0470461292

ISBN-13: 9780470461297

Edition: 2010

Authors: Alan C. Elliott, Wayne A. Woodward

List price: $82.95

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Description:

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 teacherrsquo;s preference, whether for a one-semester or two-semesters course.

Book details

List price: $82.95
Copyright year: 2010
Publisher: John Wiley & Sons, Incorporated
Publication date: 12/3/2009
Binding: Paperback
Pages: 350
Size: 7.10" wide x 9.30" long x 0.95" tall
Weight: 1.584
Language: English

Alan Elliott is the Director of the Statistical Consulting Center at Southern Methodist University within the Department of Statistical Science. Previously he served as a statistical consultant in the Department of Clinical Science at the University of Texas Southwestern Medical Center at Dallas for 30 years. Elliott holds master's degrees in Business Administration (MBA) and Applied Statistics (MAS). He has authored or coauthored over 35 scientific articles and over a dozen books including the Directory of Microcomputer Statistical Software, Microcomputing with Applications , Using Norton Utilities, SAS Essentials, Applied Time Series Analysis, and Statistical Analysis Quick reference…

Wayne A. Woodward, Ph.D., 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. In 2007 he received the Outstanding Presentation Award given by the Section on Physical and Engineering Sciences at the 2007 Joint Statistical Meetings in Salt Lake City, Utah. In 2003 he was named a Southern Methodist University Distinguished Teaching Professor by the university's Center for Teaching Excellence, and he received the 2006-2007 Scholar/Teacher…



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