Modeling Binary Correlated Responses using SAS, SPSS and R (ICSA Book Series in Statistics, 9)

Wilson, Jeffrey R. R.; Lorenz, Kent A.

ISBN 10: 3319373617 ISBN 13: 9783319373614

Edit� par Springer, 2016

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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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Titre : Modeling Binary Correlated Responses using ...
�diteur : Springer
Date d'�dition : 2016
Reliure : Couverture souple
Etat : New

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Modeling Binary Correlated Responses using SAS, SPSS and R

Jeffrey R. Wilson|Kent A. Lorenz

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319373617 ISBN 13 : 9783319373614

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Timely compilation of methods for correlated binary data analysis that could be otherwise lost to practitioners in the disparate existing literatureData and computer programs are available for readers to replicate model development and data analys. N� de r�f. du vendeur 448748259

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Modeling Binary Correlated Responses using SAS, SPSS and R

Jeffrey R. Wilson (u. a.)

Edit� par Springer, 2016

ISBN 10 : 3319373617 ISBN 13 : 9783319373614

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Modeling Binary Correlated Responses using SAS, SPSS and R (ICSA Book Series in Statistics, 9)

Wilson, Jeffrey R. R.; Lorenz, Kent A.

Edit� par Springer, 2016

ISBN 10 : 3319373617 ISBN 13 : 9783319373614

Neuf Couverture souple

Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis

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Modeling Binary Correlated Responses using SAS, SPSS and R

Kent A. Lorenz

Edit� par Springer International Publishing, Springer International Publishing Aug 2016, 2016

ISBN 10 : 3319373617 ISBN 13 : 9783319373614

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Taschenbuch. Etat : Neu. Neuware -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 applicationto 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. N� de r�f. du vendeur 9783319373614

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Modeling Binary Correlated Responses using SAS, SPSS and R

Kent A. Lorenz

Edit� par Springer International Publishing, Springer International Publishing, 2016

ISBN 10 : 3319373617 ISBN 13 : 9783319373614

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783319373614

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Modeling Binary Correlated Responses using SAS, SPSS and R

Kent A. Lorenz

Edit� par Springer International Publishing Aug 2016, 2016

ISBN 10 : 3319373617 ISBN 13 : 9783319373614

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 288 pp. Englisch. N� de r�f. du vendeur 9783319373614

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