Description: Modeling Binary Correlated Responses using SAS, SPSS and R Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Jeffrey R. Wilson, Kent A. Lorenz Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319373614, 978-3319373614 Synopsis Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for ---- through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
Price: 38.28 GBP
Location: Aldershot
End Time: 2025-01-12T09:27:56.000Z
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Book Title: Modeling Binary Correlated Responses using SAS, SPSS and R
Item Height: 235 mm
Item Width: 155 mm
Series: Icsa Book Series in Statistics
Author: Kent A. Lorenz, Jeffrey R. Wilson
Publication Name: Modeling Binary Correlated Responses Using Sas, Spss and R
Format: Paperback
Language: English
Publisher: Springer International Publishing A&G
Subject: Medicine, Mathematics, Healthcare System
Publication Year: 2016
Type: Textbook
Item Weight: 4394 g
Number of Pages: 264 Pages