Modeling Binary Correlated Responses using SAS, SPSS and R

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Éditeur :

Springer


Collection :

ICSA Book Series in Statistics

Paru le : 2015-10-12

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Description

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.
Pages
264 pages
Collection
ICSA Book Series in Statistics
Parution
2015-10-12
Marque
Springer
EAN papier
9783319238043
EAN PDF
9783319238050

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
3932 Ko
Prix
52,74 €
EAN EPUB
9783319238050

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
7127 Ko
Prix
52,74 €