| 书目名称 | Modeling Binary Correlated Responses | | 副标题 | Using SAS, SPSS, R a | | 编辑 | Jeffrey R. Wilson,Kent A. Lorenz,Lori P. Selby | | 视频video | | | 概述 | Includes Timely compilation of methods for correlated binary data analysis.Progression of chapters from an introduction to the analysis of binary data, to the realm of correlated binary data.Showcases | | 丛书名称 | ICSA Book Series in Statistics | | 图书封面 |  | | 描述 | . ..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.. | | 出版日期 | Book 2024Latest edition | | 关键词 | Dichotomous response; correlated observations; random effects models; hierarchical data; multilevel data | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-62427-8 | | isbn_softcover | 978-3-031-62429-2 | | isbn_ebook | 978-3-031-62427-8Series ISSN 2199-0980 Series E-ISSN 2199-0999 | | issn_series | 2199-0980 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:53:33
