Stack of SAS books

SAS® Upcoming Titles

Deep Learning for Numerical Applications with SAS

Deep Learning for Numerical Applications with SAS®

By Henry Bequet
Anticipated publication date: Third quarter 2018

Targeted at experienced SAS developers who want to leverage deep learning the power of deep learning in their existing analytics infrastructure, Deep Learning for Numerical Applications with SAS covers topics such as deep learning using the deep learning toolkit (CAS Action Set DeepLearn), deep learning for data analysists, and scalable deep learning analytics using the super-computing technologies supported in SAS IRM. This practical book will also show how SAS users can take advantage of deep learning to dramatically speed up their analytics.

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

Health Anamatics: An Applied Analytics and Informatics Approach Using SAS®

By Joseph M. Woodside
Anticipated publication date: Third quarter 2018

Health Anamatics is formed from the intersection of health informatics and data analytics. Healthcare systems generate nearly 1/3 of the world’s data, and healthcare stakeholders are promised a better world through data analytics by eliminating medical errors, reducing readmissions, providing evidence based care, demonstrating quality outcomes, and adding cost efficiencies among others. There is significant demand to take advantage of increasing amounts of data by utilizing analytics for insights and decision making in healthcare. This book is a comprehensive current text that combines the clinical healthcare informatics concepts with the applied analytics knowledge using SAS which has led to the concept for this book. The textbook content and learning objectives include health informatics and data analytics concepts, along with applied experiential learning exercises and case studies using SAS Enterprise Miner within the healthcare industry setting.

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

Learning SAS®  by Example: A Programmer's Guide, Second Edition

By Ron Cody
Anticipated publication date: Third quarter 2018

Learning SAS® by Example, A Programmer’s Guide, Second Edition , teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions.

SAS Viya: The R Perspective

SAS® Viya: The R Perspective

By  Yue Qi, Kevin D. Smith, and Xiangxiang Meng
Anticipated publication date: Third quarter 2018

SAS® Viya®: The R Perspective is a general-purpose introduction to using R with the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. This book introduces an entirely new way of using SAS statistics from R, taking users step-by-step from installation and fundamentals to data exploration and modeling.

Biostatistics with JMP: An Introductory Course

Biostatistics with JMP:® An Introductory Course

By Steve Figard
Anticipated publication date: Fourth quarter 2018

Targeted for undergraduate biology majors, Biostatistics with JMP: An Introductory Course will introduce students to biostatistics using JMP. Topics include comparing treatment groups with t tests and ANOVA, odds ratios and relative risk, and survival analysis. This basic knowledge of biostatistics will help the readers to both understand and evaluate what they read in the biological and medical literature as well as enable them to correctly generate and interpret such statistics from their own data.

Building Dynamic Web Applications with SAS Stored Processes: A Step-by-Step Guide

Building Dynamic Web Applications with SAS® Stored Processes: A Step-by-Step Guide

By Phil Mason
Anticipated publication date: Fourth quarter 2018

Learn about SAS Stored Processes and how to use them, enhancing their use with HTML, CSS and javascript. Filled with helpful examples and detailed case studies, programmers will find this an essential reference for Stored Processes, web applications, and user interfaces.

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

Douglas Montgomery’s Introduction to Statistical Quality Control: A JMP® Companion

By Brenda S. Ramírez, M.S. and  José G. Ramírez, Ph.D.
Anticipated publication date: Fourth 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.

Jump into JMP Scripting, Second Edition

Jump into JMP® Scripting, Second Edition

By Wendy Murphrey and Rosemary Lucas
Anticipated publication date: Fourth quarter 2018

This new edition contains even more essentials for getting started with JMP Scripting Language (JSL). With a new chapter that reviews JSL foundations for the non-programmer and a chapter that takes a deeper look into more advanced topics, Jump into JMP Scripting, Second Edition will be an excellent resource for learning JSL.

Pharmaceutical Quality by Design Using JMP: Solving Product Development and Manufacturing Problems

Pharmaceutical Quality by Design Using JMP:® Solving Product Development and Manufacturing Problems

By Rob Lievense
Anticipated publication date: Fourth quarter 2018

People who work within the pharmaceutical industry encounter many challenges, which can benefit from sound data visualization and analysis techniques. This book is intended for technicians, engineers, scientists, and managers of the pharmaceutical industry to give them a set of practically useful JMP tools to help them add value in their work.

SAS Certification Prep Guide: Statistical Business Analyst Using SAS 9

SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9

By  Joni N. Shreve and Donna Dea Holland 
Anticipated publication date: Fourth quarter 2018

New and experienced SAS users who want to prepare for the Statistical Business Analyst Using SAS 9 exam will find the SAS Certification Prep Guide: Statistical Business Analysis Using SAS 9 to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested on the exam. Major topics include analysis of variance, linear and logistic regression, preparing inputs for predictive models, and measuring model performance.

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: Fourth quarter 2018

An indispensable, comprehensive update to both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, this book empowers SAS users with the latest capabilities for a variety of applications featuring the SAS GLIMMIX, MIXED, and NLMIXED procedures.

Statistical Programming in SAS, Second Edition

Statistical Programming in SAS®, Second Edition

By  A. John Bailer
Anticipated publication date: Fourth quarter 2018

Designed for upper-level undergraduates, beginning graduate students, and professionals involved in data analysis, data management, or simulation studies, this book addresses topics important to a range of specialties in which data-based or simulation studies are conducted. SAS is a used as a platform to introduce programming concepts.

Back to Top