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Are books an endangered species? 

No, they are very much alive and thriving! In our recent blog we discuss how lifelong learning is linked to a happier, healthier, and more lucrative life. Plus, many of the smartest names in business, from Bill Gates to Elon Musk, insist that the best way to get smarter is to read. Our very own COO and CTO, Oliver Schabenberger, is a passionate lifelong learner and believes everyone at SAS should indulge their curiosity and never stop learning. He is also a book lover and has written several of his own books, including writing the forewords of many recent SAS Press books. Our recent publication, SAS® for Mixed Models: Introduction and Basic Applications, is based on the second edition of its namesake, SAS® for Mixed Models, and contains much of the content developed by Oliver as a co-author.
In this issue we announce our best-selling titles from SAS Global Forum 2019, and offer an exclusive discount on these top-performing titles!





Sian Roberts, Publisher, SAS Press




SAS for Mixed Models: An Introduction

SAS® for Mixed Models: Introduction and Basic Applications

Understanding mixed models is an important part of any data scientist’s toolkit.  SAS® for Mixed Models: Introduction and Basic Applications includes plenty of applications and examples, while buildiing on the original content authored by our SAS COO and CTO, Oliver Schabenberger, in a previous edition.

Ready to start your own lifelong learning journey? Start reading now with this free chapter sneak peek!



Get up to standard! Update your clinical research data to the 2017 CDISC standards.

Implementing CDISC Using SAS®: An End-to-End Guide, Revised Second Edition, an end-to-end guide to walk you through applying research data and metadata to the CDISC standards, has been revised to add the latest C-Codes from the most recent release. 

"This book is beneficial because it fills this gap by describing how to achieve full end-to-end implementation in an everyday nuts-and-bolts approach. The authors have done a great job updating the content in this new edition so that it is harmonized with current published standards and regulatory requirements."

Susan J. Kenny, PhD
Maximum Likelihood, Inc.

From review of second edition.



Save 40% off of our e-book of the month for June

Bayesian Analysis of Item Response Theory Models Using SAS® by Clement A. Stone and Xiaowen Zhu
Need to model response data from assessments in education and health? Try your hand at IRT!

Enter code BOM40JUN at checkout to receive your discount!





Save 30% on the top-selling books at SASGF 2019 by entering code SASGFTOP at checkout.  Offer expires at midnight June 30, 2019.



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Free is good!

Take advantage of these great training opportunities. Free e-learning courses from SAS help you learn some of the most in-demand skills in the industry. Watch nearly 400 free tutorial videos to help you get started with the basics or expand your existing SAS knowledge. Topics include SAS programming, analytics, data management, business intelligence, SAS® Viya® and more. Get started today.



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