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Recommended Titles For Instructors»

Advanced Analytics/ Predictive Modeling


Below is a list of our recommended titles, organized by category. You can download the code and data for these books from the SAS Press Author Pages. Our online bookstore lists all available titles.

 Advanced Analytics/Predictive Modeling

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

Applied Multivariate Statistics with SAS Software, Second Edition 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.

Categorical Data Analysis Using the SAS System, Third Edition book cover

Categorical Data Analysis Using the SAS System, Third Edition
By Maura Stokes, Charles Davis, and Gary Koch

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

Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition book cover

Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition
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).

Decision Trees for Analytics Using SAS Enterprise Miner book cover

Decision Trees for Analytics Using SAS Enterprise Miner
By Barry de Ville and Padraic Neville

An expanded and enhanced resource which provides the most comprehensive treatment of decision tree theory, use, and applications available in one easy-to-access place. Users will be able to make recommendations from decision trees and search algorithms in order to improve and customize their segmentation of the market.

Fixed Effects Regression Methods for Longitudinal Data Using 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.

Fundamentals of Predictive Analytics with JMP book cover

Fundamentals of Predictive Analytics with JMP
By Ron Klimberg and B. D. McCullough

With the new emphasis on business intelligence, business analytics and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.

Logistic Regression Using SAS: Theory and Application, Second Edition book cover

Logistic Regression Using SAS: Theory and Application, Second Edition
By Paul Allison, Ph.D.

This book both explains the theory behind logistic regression and looks at all the practical details involved in its implementation using SAS; the second edition covers many new features of PROC LOGISTIC, as well as PROC SURVEYLOGISTIC, PROC GLIMMIX, PROC QLIM, and PROC MDC.

Multiple Comparisons and Multiple Tests sing SAS book cover

Multiple Comparisons and Multiple Tests Using SAS
By Peter Westfall, Randall Tobias, and Russell Wolfinger

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

Overdispersion Models in SAS book cover

Overdispersion Models in SAS
By Jorge Morel and Nagaraj Neerchal

This book provides a friendly methodology-based introduction to the ubiquitous phenomenon of overdispersion and features examples--many of which use the GLIMMIX, GENMOD, and NLMIXED procedures--covering a variety of fields of application.

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition book cover

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

This title addresses data collection and data cleaning, decision trees and regression trees, logistic regression models, neural networks, variable selection and variable transformation, and more.

PROC SQL: Beyond the Basics Using SAS, Second Edition book cover

PROC SQL: Beyond the Basics Using SAS, Second Edition
By Kirk Paul Lafler

From designing database tables to tuning for performance and efficiency, this second edition delves into the workings of PROC SQL with greater analysis and discussion. Includes unique application-oriented code along with real-world examples of a powerful relational database interface language.

Regression and ANOVA: An Integrated Approach Using SAS Software 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.

SAS for Forecasting Time Series, Second Edition 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.

SAS System for Mixed Models, Second Edition 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.

Segmentation and Lifetime Value Models Using SAS book cover

Segmentation and Lifetime Value Models Using SAS
By Edward Malthouse

Learn how to perform analyses to identify customers and make informed marketing investments. This book answers core questions on customer relationship management (CRM), provides an overall framework for thinking about CRM, and offers real-world examples across a variety of industries.

Simulating Data with SAS book cover

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 with SAS/IML Software book cover

Statistical Programming with SAS/IML Software
By Rick Wicklin

Provides comprehensive description of the SAS/IML software and how to use it. Presents tips and techniques, with numerous code snippets and more than 100 graphs.

Survival Analysis Using SAS: A Practical Guide book cover

Survival Analysis Using SAS: A Practical Guide, Second Edition
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.


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