03692nam a22005415i 4500 978-3-031-62427-8 DE-He213 20251030113043.0 cr nn 008mamaa 240915s2024 sz | s |||| 0|eng d 9783031624278 978-3-031-62427-8 10.1007/978-3-031-62427-8 doi QA276-280 PBT bicssc MAT029000 bisacsh PBT thema Wilson, Jeffrey R. author. aut http://id.loc.gov/vocabulary/relators/aut 84319 Modeling Binary Correlated Responses [electronic resource] : Using SAS, SPSS, R and STATA / by Jeffrey R. Wilson, Kent A. Lorenz, Lori P. Selby. 2nd ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XXV, 282 p. 28 illus., 21 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda ICSA Book Series in Statistics, 2199-0999 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. 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. Statistics. 65982 Biometry. 65981 Statistical Theory and Methods. Biostatistics. 65985 Lorenz, Kent A. author. aut http://id.loc.gov/vocabulary/relators/aut 84320 Selby, Lori P. author. aut http://id.loc.gov/vocabulary/relators/aut 84321 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031624261 Printed edition: 9783031624285 Printed edition: 9783031624292 ICSA Book Series in Statistics, 2199-0999 80221 https://doi.org/10.1007/978-3-031-62427-8 ZDB-2-SMA ZDB-2-SXMS 63390 63390