Summer is here, which means vacations and time at the pool with a good book. If expanding your knowledge is a goal of yours this summer, SAS has a shelf full of new titles becoming available over the next few months. From new editions of classics – such as SAS® for Forecasting Time Series, Third Edition, by John C. Brocklebank, David A. Dickey, and Bong Choi; to exploring exciting new initiatives in A Practical Guide to Analytics for Governments: Using Big Data for Good, by Marie Lowman – we have you covered.
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Here are just some of the exciting new titles coming out soon!
Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition, by Alex Dmitrienko and Gary Koch. Analyze your clinical trial data with ease. This book bridges the gap between modern statistical methodology and real-world clinical trial applications.
Analytics: The Agile Way, by Phil Simon. Written for both project managers and analytic practitioners, discover a comprehensive overview of the principles, processes, and practices behind analytic lifecycle management.
Business Survival Analysis Using SAS®: An Introduction to Lifetime Probabilities, by Jorge Ribeiro. Aimed at 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.
A Practical Guide to Analytics for Governments: Using Big Data for Good, by Marie Lowman. Explore real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place.
Exchanging Data From SAS® to Excel: The ODS Excel Destination, by William E. Benjamin, Jr. Export customized Excel spreadsheets from SAS, complete with graphics, images, and text! This book delves into the options available with the new ODS Excel destination feature, with numerous examples including syntax and graphic output.
Practical and Efficient SAS® Programming: The Insider’s Guide, by Martha Messineo. Beginning SAS programmers will learn to write SAS programs quickly and efficiently, while more experienced programmers will find this book useful in learning new tips or techniques that will improve their programming skills.
SAS® for Forecasting Time Series, Third Edition, by John C. Brocklebank, Ph.D., David A. Dickey, and Bong Choi. 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, by Walter W. Stroup, George A. Milliken, Elizabeth A. Claassen and Russell D. Wolfinger. The perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS software.