Data Management Essentials Using SAS and JMP
Published on 8. June 2016
978-1-316-59278-6 (ISBN)
Description
SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.
Reviews / Votes
'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 UniversityMore details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
College/higher education
Illustrations
Worked examples or Exercises; 4 Tables, black and white; 1 Halftones, unspecified; 73 Line drawings, unspecified
File size
11704,99 MB
ISBN-13
978-1-316-59278-6 (9781316592786)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Julie Kezik | Melissa Hill
Data Management Essentials Using SAS and JMP
Book
06/2016
Cambridge University Press
€54.20
Shipment within 15-20 days
Julie Kezik | Melissa Hill
Data Management Essentials Using SAS and JMP
Book
06/2016
Cambridge University Press
€101.50
Shipment within 15-20 days
Persons
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.
Content
1. Navigation; 2. Preliminary data exploration; 3. Storing and manipulating data; 4. Advanced concepts in dataset and variable manipulation; 5. Introduction to common procedures; 6. Procedures for simple statistics; 7. More about common procedures; 8. Data visualization; 9. JMP as an alternative.
