Stack of SAS books

SAS® Upcoming Titles

Exercises and Projects for The Little SAS® Book: A Primer, Sixth Edition

By Rebecca OttesenLora Delwiche and Susan Slaughter
Anticipated publication date:  Fourth quarter 2019

The best-selling workbook companion to The Little SAS Book, Exercises and Projects for The Little SAS® Book, Sixth Edition will be updated to match the updates to the new The Little SAS® Book: A Primer, Sixth Edition. This hands-on workbook is designed to hone your SAS skills whether you are a student or a professional.

A Gentle Introduction to Statistics Using SAS® Studio

By  Ron Cody
Anticipated publication date: Fourth quarter 2019

A Gentle Introduction to Statistics Using SAS® Studio introduces crucial statistical concepts for those who are new to the field. Because this book uses SAS® University Edition, little programming is required, so readers can focus on learning a wide variety of statistical concepts, from sample size and study designs, through ANOVA, correlation and regressions. Readers will be walked through installing SAS University Edition, importing data, SAS® Studio tasks and graphing. Each chapter will end with programming exercises with solutions to the odd-numbered exercises provided online to download. 

Introduction to Biostatistics with JMP

Introduction to Biostatistics with JMP® 

By Steve Figard
Anticipated publication date:  Fourth quarter 2019

The topics will introduce them to how to think like a biostatistician with real life problems to make it relevant. This includes how to determine what tests are the most appropriate to answer the question being studied. Many of the methods are common to other disciplines, such as comparing treatment groups with t tests and ANOVA, but some topics will cover material that finds greater use in the biological sciences. These will include topics such as 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. 

The Little SAS® Book: A Primer, Sixth Edition

By Lora Delwiche and Susan Slaughter
Anticipated publication date:  Fourth quarter 2019

Almost every section in the best-seller, The Little SAS Book, will be updated to ensure that this book continues to be the book that readers turn to when learning how to program in SAS. The sixth edition will be interface independent so it won’t matter if you are using SAS Studio, SAS Enterprise Guide, or the SAS windowing environment as your programming interface. In this edition, the authors have included many more examples of creating and using permanent SAS data sets, as well as using PROC IMPORT to read data. The new edition also deemphasizes reading raw data files using the INPUT statement—a topic that is no longer covered in the new base SAS programmer certification exam. The Little SAS® Book: A Primer, Sixth Edition is a must for learning how to program using SAS!

Practical Data Analysis with JMP, Third Edition

Practical Data Analysis with JMP®, Third Edition

By  Robert Carver
Anticipated publication date: Fourth quarter 2019

Robert Carver's Practical Data Analysis with JMP, Third Edition uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. It enables you to discriminate among and to use fundamental techniques of analysis, enabling you to engage in statistical thinking by analyzing real-world problems. “Application Scenarios” at the end of each chapter challenge you to put your knowledge and skills to use with data sets that go beyond mere repetition of chapter examples. In addition, the scope and sequence of the chapters have been updated with more coverage of data management and analysis of data.

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Smart Data Discovery with SAS® Visual Analytics 

By Felix Liao
Anticipated publication date:  First quarter 2020

Most SAS Visual Analytics users today only use the most basic visualizations and charts and are only scratching the surface in terms of the tool’s full potential. These users lack basic understanding of the more advanced analytics techniques, struggle with identifying the relevant business context in which to apply these advanced techniques and are not familiar with the relevant SAS Visual Analytics components.

The purpose of this book is to present these related concepts in a cohesive, simple and practical manner and equip the readers with the necessary knowledge and skill to take their data discovery to the next level using SAS Visual Analytics. Topics covered include a high-level overview of SAS Visual Analytics (the user interface, key features and various foundational concepts that are critical in supporting subsequent chapters) as well as applications of smart data discovery techniques. This will include multiple sections that provide relevant theories, business context and detailed guidance on how to build and interpret these advanced charts using SAS Visual Analytics such as

  • Beyond basic visualizations
  • Correlation
  • Prediction (Linear Regression, Logistic Regression, Decision Trees)

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