ICSA Book Series in Statistics- Modeling Binary Correlated Responses using SAS, SPSS and R

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  • Engels
  • Paperback
  • 9783319373614
  • 23 augustus 2016
  • 264 pagina's
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Samenvatting

Statistical tools to analyze correlated binary data are spread out in the existing literature. 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.



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.

Productspecificaties

Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
23 augustus 2016
Aantal pagina's
264
Illustraties
Nee

Betrokkenen

Hoofdauteur
Jeffrey R. Wilson
Tweede Auteur
Kent A. Lorenz
Co Auteur
Kent A. Lorenz

Overige kenmerken

Editie
Softcover reprint of the original 1st ed. 2015
Extra groot lettertype
Nee
Product breedte
155 mm
Product lengte
235 mm
Studieboek
Nee
Verpakking breedte
155 mm
Verpakking hoogte
235 mm
Verpakking lengte
235 mm
Verpakkingsgewicht
4394 g

EAN

EAN
9783319373614

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