Modeling Binary Correlated Responses using SAS, SPSS and R (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	ICSA Book Series in Statistics, 9
Release date:	August 2016
First published:	2015
Authors:	Jeffrey R. Wilson • Kent A. Lorenz
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	264
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-37361-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN:	3-319-37361-7
Barcode:	9783319373614

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