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Modeling Binary Correlated Responses
Using SAS, SPSS, R and STATA
Buch von Jeffrey R. Wilson (u. a.)
Sprache: Englisch

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Beschreibung
This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages.

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, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages.

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, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
Über den Autor

Jeffrey Wilson is Professor of Statistics and Biostatistics, and Associate Dean of Research in W. P. Carey School of Business, Arizona State University, Tempe. He is the former Statistics Associate Editor for The Journal of Minimally Invasive Gynecology and the Faculty Athletics Representative for Arizona State University. He has published more than 90 articles in leading journals such as Statistics in Medicine, American Journal of Public Health, Journal of Royal Statistics Series C, Management Science, Journal of Business and Economic Statistics, Computational Statistics, and Australian Journal of Statistics, among others.

Kent A. Lorenz is Associate Professor of Physical Education and Physical Activity in the Department of Kinesiology at San Francisco State University. He teaches courses in physical fitness, and elementary and secondary curriculum and instruction in the Integrated Teacher Education Program in Physical Education, and the introduction to statistics course for the Masters of Science in Kinesiology degree program. His research interests center on youth physical activity and physical fitness, with a particular emphasis on Comprehensive School Physical Activity Programs. Dr. Lorenz has published 25 peer-reviewed journal articles, contributed to various book chapters and the first edition of the Modeling Correlated Binary Data using SAS, SPSS and R.

Lori P. Selby is a PhD candidate in the School of Mathematics and Statistics. She was a lecturer in Mathematics and Biostatistics at the University of Trinidad and Tobago. She is a member of the American

Statistical Association (ASA) and the Arizona Chapter of ASA. She is also a member of the American Public Health Association.

Inhaltsverzeichnis
Introduction to Binary logistic Regression.- Growth of the Logistic Regression Model.- Standard Binary Logistic Regression Model.- Overdispersed Logistic Regression Model.- Weighted Logistic Regression Model.- Generalized Estimating Equations Logistic Regression.- Generalized Method of Moments logistic regression Model.- Exact Logistic Regression Model.- Two-Level Nested Logistic Regression Model.- Hierarchical Logistic Regression models.- Fixed Effects Logistic Regression Model.- Heteroscedastic Logistic Regression Model.
Details
Erscheinungsjahr: 2024
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: ICSA Book Series in Statistics
Inhalt: xxv
282 S.
7 s/w Illustr.
21 farbige Illustr.
282 p. 28 illus.
21 illus. in color.
ISBN-13: 9783031624261
ISBN-10: 3031624262
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Wilson, Jeffrey R.
Selby, Lori P.
Lorenz, Kent A.
Auflage: Second Edition 2024
Hersteller: Springer International Publishing
Springer International Publishing AG
ICSA Book Series in Statistics
Maße: 241 x 160 x 23 mm
Von/Mit: Jeffrey R. Wilson (u. a.)
Erscheinungsdatum: 15.09.2024
Gewicht: 0,629 kg
Artikel-ID: 129292303
Über den Autor

Jeffrey Wilson is Professor of Statistics and Biostatistics, and Associate Dean of Research in W. P. Carey School of Business, Arizona State University, Tempe. He is the former Statistics Associate Editor for The Journal of Minimally Invasive Gynecology and the Faculty Athletics Representative for Arizona State University. He has published more than 90 articles in leading journals such as Statistics in Medicine, American Journal of Public Health, Journal of Royal Statistics Series C, Management Science, Journal of Business and Economic Statistics, Computational Statistics, and Australian Journal of Statistics, among others.

Kent A. Lorenz is Associate Professor of Physical Education and Physical Activity in the Department of Kinesiology at San Francisco State University. He teaches courses in physical fitness, and elementary and secondary curriculum and instruction in the Integrated Teacher Education Program in Physical Education, and the introduction to statistics course for the Masters of Science in Kinesiology degree program. His research interests center on youth physical activity and physical fitness, with a particular emphasis on Comprehensive School Physical Activity Programs. Dr. Lorenz has published 25 peer-reviewed journal articles, contributed to various book chapters and the first edition of the Modeling Correlated Binary Data using SAS, SPSS and R.

Lori P. Selby is a PhD candidate in the School of Mathematics and Statistics. She was a lecturer in Mathematics and Biostatistics at the University of Trinidad and Tobago. She is a member of the American

Statistical Association (ASA) and the Arizona Chapter of ASA. She is also a member of the American Public Health Association.

Inhaltsverzeichnis
Introduction to Binary logistic Regression.- Growth of the Logistic Regression Model.- Standard Binary Logistic Regression Model.- Overdispersed Logistic Regression Model.- Weighted Logistic Regression Model.- Generalized Estimating Equations Logistic Regression.- Generalized Method of Moments logistic regression Model.- Exact Logistic Regression Model.- Two-Level Nested Logistic Regression Model.- Hierarchical Logistic Regression models.- Fixed Effects Logistic Regression Model.- Heteroscedastic Logistic Regression Model.
Details
Erscheinungsjahr: 2024
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: ICSA Book Series in Statistics
Inhalt: xxv
282 S.
7 s/w Illustr.
21 farbige Illustr.
282 p. 28 illus.
21 illus. in color.
ISBN-13: 9783031624261
ISBN-10: 3031624262
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Wilson, Jeffrey R.
Selby, Lori P.
Lorenz, Kent A.
Auflage: Second Edition 2024
Hersteller: Springer International Publishing
Springer International Publishing AG
ICSA Book Series in Statistics
Maße: 241 x 160 x 23 mm
Von/Mit: Jeffrey R. Wilson (u. a.)
Erscheinungsdatum: 15.09.2024
Gewicht: 0,629 kg
Artikel-ID: 129292303
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