Stack of SAS books

SAS Upcoming Titles

Analysis of Clinical Trials Using SAS: A Practical Guide, Second Edition: An Introduction to Lifetime Probabilities

Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition

By Alex Dmitrienko and Gary Koch
Anticipated publication date: July 2017
Analyze your clinical trial data with ease. This book bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step instructions illustrated with examples from actual trials and case studies 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.

Analytics: The Agile Way

Analytics: The Agile Way

By Phil Simon
Anticipated publication date: Second quarter 2017
This book will provide both project managers and analytic practitioners with a comprehensive overview of the principles, processes and practices behind analytic life cycle management.

Business Survival Analysis Using SAS: An Introduction to Lifetime Probabilities

Business Survival Analysis Using SAS®: An Introduction to Lifetime Probabilities 

By Jorge Ribeiro
Anticipated publication date: Third quarter 2017
Written for analysts, forecasters, econometricians, and modelers who work in marketing or credit risk and have little SAS modeling experience, this book builds on a foundation of SAS code that works in any survival model and features numerous annotated graphs, coefficients, and statistics linked to real business situations and data sets. This guide also helps recent graduates who know the statistics but do not necessarily know how to apply them get up and running in their jobs.

Exchanging Data from SAS to Excel

Exchanging Data from SAS® to Excel: The ODS Excel Destination 

By William E. Benjamin, Jr. 
Anticipated publication date: Third quarter 2017
Export customized Excel spreadsheets from SAS, complete with graphics, images, and text! While Exchanging Data between SAS and Microsoft Excel: Tips and Techniques to Transfer and Manage Data More Efficiently is a thorough guide to moving data between SAS and Excel, this new companion book delves into the options available with the new ODS Excel destination feature, with numerous examples including syntax and graphic output.

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Biostatistics Using JMP®: A Practical Guide 

By Trevor Bihl 
Anticipated publication date: Third quarter 2017
This book provides an example-driven, step-by-step introduction to using JMP to solve common biostatistical problems. Topics include descriptive statistics, data visualization tools in JMP, statistics tests, analysis of variance, regression and multiple regression, classification methods and survival analysis.

Data Management and Analysis Using JMP: Health Care Case Studies

Data Management and Analysis Using JMP®: Health Care Case Studies 

By Jane Oppenlander and Patricia Schaffer
Anticipated publication date: Fourth quarter 2017
This book bridges the gap between the traditional first statistics course preparation and the successful application of statistical analysis in the workplace.

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Introduction to Statistical Quality Control with JMP® 

By Brenda Ramirez and Jose Ramirez
Anticipated publication date: Second quarter 2018
This book highlights some of the recent advances in the Quality and Process platform, using examples from Introduction to Statistical Quality Control by Douglas Montgomery. Step-by-step instructions teach readers to use JMP to generate the output and solutions to many of the examples in Introduction to Statistical Quality Control.

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition : A Practical Guide

Predictive Modeling with SAS® Enterprise Miner: Practical Solutions for Business Applications, Third Edition 

By Kattamuri S. Sarma, Ph.D.
Anticipated publication date: Third quarter 2017
In this new edition of the popular predictive modeling book, Sarma updates the book to the latest version of SAS Enterprise Miner. In addition, he expands the cluster analysis section and adds a section on association.     

SAS for Forecasting Time Series, Third Edition

SAS® for Forecasting Time Series, Third Edition 

By John C. Brocklebank, Ph.D., David A. Dickey, Ph.D., and Bong Choi
Anticipated publication date: Third quarter 2017
In this third edition of the indispensable SAS for Forecasting Time Series, the authors show you how SAS performs univariate and multivariate time series analysis.

SAS for Mixed Models: An Introduction

SAS® for Mixed Models: An Introduction 

By Walter W. Stroup, Ph.D., George A. Milliken, Ph.D., Elizabeth A. Claassen and Russell D. Wolfinger, Ph.D.
Anticipated publication date: Third quarter 2017
SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression and intermediate-level use of SAS software.

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Developing Web Applications with SAS® Stored Processes: How to Make Great User Interfaces with HTML5, CSS, and JavaScript

By Phil Mason
Anticipated publication date: Third quarter 2017
This book is for SAS programmers who have limited experience with HTML, JavaScript or CSS, but want to build great web applications. With this book, programmers should be able to make great user interfaces with SAS Stored Processes.

Anti-Money Laundering Transaction Monitoring Systems Implementation: Finding Anomalies

Anti-Money Laundering Transaction Monitoring Systems Implementation: Finding Anomalies 

By Derek Chau
Anticipated publication date: Fourth quarter 2017
This book provides comprehensive guidance for bank compliance and IT personnel tasked with implementing anti-money laundering transaction monitoring.

book cover image coming soon

Exploring Big Data with SAS® Visual Analytics: Visualizing Trade Data 

By I-Sah Hsieh and Alice Louise Kassens, Ph.D.
Anticipated publication date: Fourth quarter 2017
This book will introduce the SAS/UN Comtrade platform to show how big data is helping people find better answers, ask new questions that were not previously possible, and get answers in real time. It will provide case studies on a variety of groups and describe how to incorporate it into their curriculum/work.

book cover image coming soon

Infographics Powered by SAS® Visual Analytics and SAS® Office Analytics 

By Travis Murphy
Anticipated publication date: Fourth quarter 2017
Design robust and repeatable business infographics with SAS.

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