Modeling Binary Correlated Responses using SAS, SPSS and R

Jeffrey Wilson, Kent A. Lorenz

ISBN 10: 3319238043 / ISBN 13: 9783319238043

Published by Springer-Verlag GmbH, 2015

About this Item

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Seller Inventory # 26033575/12

Bibliographic Details

• Title: Modeling Binary Correlated Responses using SAS, SPSS and R
• Publisher: Springer-Verlag GmbH
• Publication Date: 2015
• Language: English
• ISBN 10: 3319238043
• ISBN 13: 9783319238043
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

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 download 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.