Data Management Essentials Using SAS and JMP, 9781107114562
Hardcover
Unlock data mastery: SAS and JMP essentials for everyone.

Data Management Essentials Using SAS and JMP

$264.02

  • Hardcover

    150 pages

  • Release Date

    20 June 2016

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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
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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