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Modeling Binary Correlated Responses

Using SAS, SPSS, R and STATA
BuchGebunden
282 Seiten
Englisch
Springererscheint am22.10.20242. Aufl.
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.mehr
Verfügbare Formate
BuchGebunden
EUR149,79
E-BookPDF1 - PDF WatermarkE-Book
EUR139,09

Produkt

KlappentextShort 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.
Details
ISBN/GTIN978-3-031-62426-1
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum22.10.2024
Auflage2. Aufl.
ReiheICSA Book Series in Statistics
Seiten282 Seiten
SpracheEnglisch
IllustrationenXXV, 282 p. 28 illus., 21 illus. in color.
Artikel-Nr.56118766

Inhalt/Kritik

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.mehr

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.

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Selby, Lori P.