These popular SAS titles are a great starting place for anyone interested in teaching or learning more about SAS and basic statistics.
|Applied Multivariate Statistics with SAS Software, Second Edition
By Ravindra Khattree and Dayanand Naik
Real-world problems and data sets provide a unique approach to the topic: integrating statistical methods, data analysis, and applications.
|Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner: A Beginner's Guide
By Olivia Parr-Rud
Provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries.
|Basic Statistics Using SAS Enterprise Guide: A Primer
By Geoff Der and Brian S. Everitt
This example-rich guide shows you how to conduct a wide range of statistical analyses with no SAS programming required.
|Cody's Data Cleaning Techniques Using SAS, Second Edition
By Ron Cody
Addresses tasks that nearly every SAS programmer needs to do: make sure that data errors are located and corrected.
|Elementary Statistics Using SAS
By Sandra Schlotzhauer
Bridging the gap between statistics texts and SAS documentation, this book is written for those who want to perform analyses to solve problems.
|Introduction to Regular Expressions in SAS
K. Matthew Windham
Learn how to harness the power of Regular Expressions within the SAS programming language for a wide array of everyday applications of unstructured data analyses.
|Learning SAS by Example: A Programmer's Guide
By Ron Cody
If you like learning by example, then this straightforward book makes it easy to learn SAS programming.
|The Little SAS Book: A Primer, Fifth Edition
By Lora Delwiche and Susan Slaughter
Gently introduces you to the most commonly used features of SAS software with clear explanations and examples.
|The Little SAS Book for Enterprise Guide 4.2
By Susan Slaughter and Lora Delwiche
This guide helps you quickly become familiar with the SAS Enterprise Guide point-and-click environment.
|Multiple Imputation of Missing Data Using SAS|
By Patricia Berglund and Steven Heeringa
Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. It provides both theoretical background and practical solutions for those working with incomplete data sets in an engaging example-driven format.
|PROC REPORT by Example: Techniques for Building Professional Reports Using SAS
By Lisa Fine
Create a wide variety of professional reports with real-world examples. SAS users from all disciplines will gain valuable insight and turn seemingly complex reporting tasks into a matter of practice.
|SAS for Linear Models, Fourth Edition
By Ramon C. Littell, Ph.D., Walter W. Stroup, Ph.D., and Rudolf J. Freund, Ph.D.
Uses a tutorial approach and plenty of examples to lead you through methods related to analysis of variance with fixed and
|SAS for Mixed Models, Second Edition
By Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger
Describes the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures
|SAS Macro Programming Made Easy, Third Edition|
By Michele M. Burlew
A cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books.
|SAS Statistics by Example
By Ron Cody
Updated for SAS 9.4, this book teaches you the elements of the macro facility, how to write a macro program, techniques for macro programming, tips on using the macro facility, how the macro facility fits into SAS, and about the interfaces between the macro facility and other components of SAS.
|SAS System for Regression, Third Edition|
By Rudolf J. Freund, Ph.D., and Ramon C. Littell, Ph.D.
An example-driven guide that shows how to perform a wide variety of regression analyses using SAS software.
|Simulating Data with SAS
By Rick Wicklin
A how-to book for statistical programmers who use SAS software and who want to simulate data efficiently.
|Statistical Programming in SAS
By John Bailer
Integrates SAS tools with interesting statistical applications. Uses SAS 9.2 to introduce programming ideas for statistical analysis, data management, and data display and simulation.
|A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
By Norm O'Rourke, Ph.D. and Larry Hatcher, Ph.D.
Structural equation modeling has become one of the most important statistical procedures in the social and behavioral sciences. This single user-friendly volume, gently guides users through performing some of the most sophisticated data analysis procedures used by researchers today.
|A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition
By Norm O'Rourke, Ph.D., Larry Hatcher, Ph.D., and Edward Stepanski, Ph.D.
Updated for SAS 9, this second edition is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics.
|Teaching Elementary Statistics with JMP
By Chris Olsen
Intended for high school and introductory college-level statistics courses, this book demonstrates JMP and offers the latest research on best practices in teaching statistics using JMP.
|Test Scoring and Analysis Using SAS
By Ron Cody and Jeffrey Smith
Develop your own multiple-choice tests, score students, produce student rosters (in print form or Excel), and explore item response theory (IRT).
|Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS
By Goutam Chakraborty, Murali Pagolu, and Satish Garla
Having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected.