
Data Management Essentials Using SAS and JMP
$264.02
- Hardcover
150 pages
- Release Date
20 June 2016
Summary
Unlock Your Data’s Potential: A Practical Guide to SAS and JMP
SAS programming empowers you to leverage your organization’s data effectively. This guide offers a collection of essential SAS tools for data management, catering to both beginners and occasional users.
Designed for students and programmers with limited SAS experience, this book adopts a hands-on tutorial approach to help you quickly grasp the software.
Inside, you’ll discover:
- Straightforwa…
Book Details
ISBN-13: | 9781107114562 |
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ISBN-10: | 110711456X |
Author: | Julie Kezik, Melissa Hill |
Publisher: | Cambridge University Press |
Imprint: | Cambridge University Press |
Format: | Hardcover |
Number of Pages: | 150 |
Release Date: | 20 June 2016 |
Weight: | 420g |
Dimensions: | 242mm x 182mm x 13mm |
What They're Saying
Critics Review
‘The authors have created a very readable and gentle introduction to SAS programming and its working environment - Enterprise Guide. The text provides a valuable overview of ‘navigating’ in a SAS windowing environment and before moving quickly into core procedures. … a very valuable introduction to basic SAS programming for the beginning data analyst.’ Glenn Gamst, University of la Verne, California‘The authors of Data Management Essentials Using SAS and JMP have written a thoroughly user-friendly beginning guide to SAS programming for data exploration and management, and for designing well-constructed and informative reports. I honestly know of no better book to use for self-instruction on, or for teaching essential SAS programming skills for report design than this very well written and produced book.’ Joseph M. Hilbe, Arizona State University
About The Author
Julie Kezik
Julie Kezik is a biostatistician at the Center for Perinatal, Pediatric and Environmental Epidemiology at the Yale School of Public Health. Her primary research interests are assessing the effects of indoor and outdoor air pollution on at risk populations, and she currently focuses on providing statistical analysis and research support for epidemiological studies of environmental exposures and early childhood health outcomes. Her current work uses a combination of measured data, modeling data, traffic information, and health outcomes to help create interventions which will improve health.
Melissa Hill is a Clinical Programmer at Cd3 Inc. where she uses SAS to perform and support the design and programming of clinical data structures related to drug development. Prior to her position at Cd3 Inc. she worked as an epidemiologist at the Yale University Center for Perinatal, Pediatric, and Environmental Epidemiology. During that time, she used SAS to support her various roles at the CPPEE including programmer analyst, field study coordinator, and research associate. She enjoys sharing her diverse SAS experience with other members of her team and developing new ways to harness the broad range of tools that SAS provides.
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