SAS Institute. The Power to Know

Learning Center

Questions?
Send E-mailCall Us


google graphic

Full Text Search
SAS Publishing Titles



Related Links

Stay Informed

Browse Resources» For Instructors

Are you teaching a SAS class?

Let SAS Publishing help you in the classroom with books, evaluation copies and the opportunity to author your own book!


Academic Evaluation Copies
If you are considering a SAS title for your classroom, you can request an academic evaluation copy for your review. Visit our evaluation copy form for titles that are available to you.


Authoring Opportunities
SAS also offers the opportunity for professors and instructors to author their own SAS books. Discover why we are your publisher of choice. Or if you're already working with another publisher, consider applying for participation in our new SAS Author Assistance Program. You can also e-mail us for details.


Recommended Titles
SAS Press offers many books particularly suited for use in higher education. Below is a list of the most popular selections. You can download the code and data for these books from the SAS Press Companion sites.

This list of bestselling SAS Press titles is organized by the below categories. Our online bookstore lists all available titles.


 Basic Statistics Books

These popular SAS titles are a great starting place for anyone interested in teaching or learning more about SAS and basic statistics.

book cover

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.

book cover

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.

book cover

Cody's Data Cleaning Techniques Using SAS, Second Edition
By Ron Cody, Ed.D.

Addresses tasks that nearly every SAS programmer needs to do: make sure that data errors are located and corrected.

book cover

Elementary Statistics Using JMP
By Sandra Schlotzhauer

Learn how to perform basic statistical analyses using the powerful JMP software.

book cover

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.

book cover

Introduction to Design of Experiments with JMP Examples, Third Edition
By Jacques Goupy and Lee Creighton

This edition addresses a wide array of designs, including full-factorial designs, fractional-factorial designs, response surface designs, mixture designs, and more.

book cover

JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide
By Ann Lehman, Ph.D., Norm O'Rourke, Ph.D., Larry Hatcher, Ph.D., and Edward J. Stepanski, Ph.D.

Shows how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields.

book cover

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition
By John Sall, Lee Creighton, and Ann Lehman

A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis

book cover


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.

book cover


The Little SAS Book: A Primer, Fourth Edition
By Lora D. Delwiche and Susan J. Slaughter

Gently introduces you to the most commonly used features of SAS software with clear explanations and examples.

book cover


The Little SAS Book for Enterprise Guide 4.1
By Lora D. Delwiche and Susan J. Slaughter

This guide helps you quickly become familiar with the SAS Enterprise Guide point-and-click environment.

book cover

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 random effects.

book cover

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

book cover

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.

book cover

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.

book cover Step-by-Step Basic Statistics Using SAS: Student Guide and Exercises
By Larry Hatcher, Ph.D.

Introduces you to SAS software and leads you through a variety of elementary statistical analyses commonly used in the social and behavioral sciences.
Exercises included.


back to top


 Advanced Analytics/ Predictive Modeling Books

Involved in more advanced analytics and concepts? Consider these recommended titles for your classroom or personal reference library.

book cover

Advanced Log-Linear Models Using SAS
By Daniel Zelterman, Ph.D.

Illustrates how to use the GENMOD procedure to analyze log-linear models for categorical data.

book cover

Applied Multivariate Statistics with SAS Software, Second Edition
By Ravindra Khattree, Ph.D., and Dayanand N. Naik, Ph.D.

Includes information about mixed effects models, applications of the MIXED procedure, regression diagnostics with the corresponding IML procedure code, and covariance structures. Together with Multivariate Data Reduction and Discrimination with SAS Software, provides comprehensive information about using SAS for multivariate statistics.

book cover

Categorical Data Analysis Using the SAS System, Second Edition
By Maura E. Stokes, Ph.D., Charles S. Davis, Ph.D., and Gary G. Koch, Ph.D.

Provides a discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

book cover

Fixed Effects Regression Methods for Longitudinal Data Using SAS
By Paul Allison, Ph.D.

An invaluable resource for all researchers interested in adding fixed effects regression methods to their tool kit of statistical techniques.

book cover

Logistic Regression Using the SAS System: Theory and Application
By Paul Allison, Ph.D.

Written for researchers or students with experience in multiple linear regression who want to learn about logistic regression.

book cover

Multiple Comparisons and Multiple Tests Using SAS
By Peter H. Westfall, Ph.D., Randall D. Tobias, Ph.D., Dror Rom, Ph.D., Russell D. Wolfinger, Ph.D., and Yosef Hochberg, Ph.D.

Ideal for learning multiple comparisons procedures in standard linear models, multivariate analysis, categorical analysis, and regression and nonparametric statistics.
Exercises available.

book cover

Regression and ANOVA: An Integrated Approach Using SAS Software
By Keith E. Muller, Ph.D., and Bethel A. Fetterman, M.S.

A graduate-level book that focuses on the general linear model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression and ANOVA than do traditional sums of squares and scalar equations.
Exercises included.

book cover

SAS for Forecasting Time Series, Second Edition
By John C. Brocklebank, Ph.D., and David A. Dickey, Ph.D.

A tutorial guide that demonstrates how SAS performs univariate and multivariate time series analysis.

book cover

SAS System for Mixed Models, Second Edition
By Ramon Littell, Ph.D., George Milliken, Ph.D., Walter Stroup,Ph.D., Russell Wolfinger, Ph.D., and Oliver Schabenberger, Ph.D.

Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures. Completely revised and updated for SAS®9.

book cover

Survival Analysis Using SAS: A Practical Guide
By Paul Allison, Ph.D.

An easy-to-read and comprehensive guide for biomedical and social science researchers who want to analyze survival data with SAS.
Exercises included.

book cover

Visualizing Categorical Data
By Michael Friendly, Ph.D.

Offers many new and more easily accessible graphical methods for representing categorical data using SAS software.

 


back to top



 Research/Clinical Books

These titles are a must-read for professors, students, and researchers interested in expanding their research capabilities in SAS.

book cover

Analysis of Clinical Trials Using SAS: A Practical Guide
By Alex Dmitrienko, Ph.D., Geert Molenberghs, Ph.D., Christy Chuang-Stein, Ph.D., and Walter Offen, Ph.D.

Step-by-step instructions illustrated with examples from actual trials and case studies that serve to define a statistical method and its relevance in a clinical trials setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software.

book cover

Analyzing Receiver Operating Characteristic Curves with SAS
By Mithat Gonen

This example-driven book illustrates the many existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS procedures and macros.

book cover

Genetic Analysis of Complex Traits Using SAS
Edited by Arnold M. Saxton, Ph.D.

Demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data.

book cover

Pharmaceutical Statistics Using SAS: A Practical Guide
By Alex Dmitrienko, Christy Chuang-Stein, and Ralph D'Agostino

This essential new book offers extensive coverage of cutting-edge biostatistical methodology used in drug development and the practical problems facing today's drug developers.

book cover

SAS for Monte Carlo Studies: A Guide for Quantitative Researchers
By Xitao Fan, Ph.D., Akos Felsovalyi, M.S., Stephen A. Sivo, Ph.D., and Sean C. Keenan, Ph.D.

Provides detailed and practical guidance for conducting Monte Carlo studies using SAS.

book cover

SAS Programming in the Pharmaceutical Industry
By Jack Shostak

A real-world reference guide for clinical trial SAS programming, packed with solutions that programmers can apply to their day-to-day problems.

book cover

SAS Survival Analysis Techniques for Medical Research, Second Edition
By Alan Cantor, Ph.D.

Presents the theory and methods of survival analysis along with excellent discussions of the SAS procedures used to implement the methods described.

book cover

Validating Clinical Trial Data Reporting with SAS
By Carol I. Matthews and Brian Shilling

Focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration (FDA).


back to top


 Data Mining Books

Interested in exploring the exciting world of data mining using SAS? Here are some great books to guide you.

book cover

Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring
By Naeem Siddiqi, M.B.A.

Presents a business-focused process built on a solid foundation of statistic and data mining principles for the development and implementation of risk prediction scorecards.

book cover

CRM Segmentation and Clustering Using SAS Enterprise Miner
By Randall S. Collica

In this instructive guide, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM).

book cover

Data Preparation for Analytics Using SAS
By Gerhard Svolba

This user-friendly text offers practical advice in the form of SAS coding tips and tricks, along with providing the reader with a conceptual background on data structures and considerations from the business point of view.

book cover

Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
By Barry deVille

Using SAS Enterprise Miner, this book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery.

book cover

Integrating Results through Meta-Analytic Review Using SAS Software
By Morgan C. Wang, Ph.D., and Brad J. Bushman, Ph.D.

Wang and Bushman offer a thorough description of how meta-analysis can be used in data mining projects to discover meaningful relations among variables in a collection of studies.

book cover

Introduction to Data Mining Using SAS Enterprise Miner
By Patricia Cerrito

Packed with examples from an array of industries, this introductory text provides you with excellent starting points and practical guidelines to begin data mining today.

book cover

Multivariate Data Reduction and Discrimination with SAS Software
By Ravindra Khattree, Ph.D., and Dayanand N. Naik, Ph.D.

Presents conceptual developments, theory, methods, and subsequent data analyses in an integrated manner. Together with Applied Multivariate Statistics with SAS Software, Second Edition, provides comprehensive information about using SAS for multivariate statistics.

book cover

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications
By Kattamuri Sarma

Step by step, you'll be able to compare manual calculations with the calculations that are performed by SAS Enterprise Miner. Addresses: data collection and data cleaning, decision trees and regression trees, logistic regression models, and more.


back to top


 Business Intelligence Books

These references are recommended reading if you're interested in familiarizing yourself with SAS business intelligence.

book cover

Business Intelligence Competency Center: A Team Approach to Maximizing Competitive Advantage
By Gloria Miller, Dagmar Bräutigam, and Stefanie Gerlach

Written for anyone interested in understanding the Business Intelligence Competency Center (BICC) concept, this book covers the process of planning, setting up and running a BICC while also exploring the benefits and potential pitfalls, and reviewing best practices.

book cover

Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy
By Olivia Rud

Many books discuss the importance of emotional intelligence in the corporate environment, but this book goes a step further. It looks at components of chaos theory, complex adaptive systems, and quantum physics to provide a scientific framework for the new corporate examples and explains why these competencies are critical, given the speed of change, globalization, and advancement in technology and business intelligence.

book cover

CIO Best Practices: Enabling Strategic Value with Information Technology
By Joe Stenzel

CIO Best Practices is an invaluable resource filled with real-world practices used by CIOs and other IT specialists who have successfully mastered the blend of business and IT responsibilities.

book cover

Customer Data Integration: Reaching a Single Version of the Truth
By Jill Dyche and Evan Levy

This book encompasses the new set of technologies designed to help companies conveniently and cost-efficiently turn the raw material of customer data into usable, reliable customer information.

book cover

Case Studies in Performance Management: A Guide from the Experts
By Tony Adkins

A compilation of eight case studies in Activity-Based Costing (ABC) and Performance Management (PM), with a foreword from Gary Cokins about their tie into a PM framework.

book cover

Information Revolution: Using the Information Evolution Model to Grow Your Business
By Jim Davis, Gloria J. Miller, and Allan Russell

Explains the Information Evolution Model (IEM), a patent-pending framework that encompasses an evolutionary path toward information-management optimization across four dimensions: people, processes, corporate culture, and infrastructure.

book cover

Performance Management: Finding the Missing Pieces to Close the Intelligence Gap
By Gary Cokins, CPIM

Emphasizes that the current analytical tools (balanced scorecard, activity-based management, etc.) have been tested and are mature, and that their integration is now the big opportunity.

book cover

Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics
By Gary Cokins, CPIM

Provides an overview of the current trends in performance management. Unlike other books on the topic, this book, by performance management pioneer Gary Cokins, is not a dry recipe or "how-to" guide; it provides a detailed discussion of the relevant aspects of performance management.

* These books are offered by SAS Publishing as a professional resource for SAS users. Concepts related to using SAS are addressed, but SAS examples are not included.


back to top