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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modeling Binary Correlated Responses Using Sas, SPSS and R

Modeling Binary Correlated Responses Using Sas, SPSS and R

Wilson, Jeffrey R.
Lorenz, Kent A.

Paperback

Series: Icsa Book Statistics, Book 9

Medical ReferenceGeneral ScienceProbability & Statistics

Currently unavailable to order

ISBN10: 3319373617
ISBN13: 9783319373614
Publisher: Springer
Published: Aug 23 2016
Pages: 264
Weight: 0.90
Height: 0.61 Width: 6.10 Depth: 9.25
Language: English

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.

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