Modeling Binary Correlated Responses: Using Sas, Spss, R and Stata
Wilson, Jeffrey R., Lorenz, Kent A., Selby, Lori P.
相關主題
商品描述
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.
商品描述(中文翻譯)
本書是《使用 SAS、SPSS 和 R 建模二元相關反應》的更新版，現在也包含了 STATA 的使用。它利用這些統計工具來分析相關的二元數據，並以單一卷本的形式提供給實務工作者。各章節涵蓋了最近開發的統計工具和統計套件，並展示了傳統與新方法在健康相關研究中的應用。每章所呈現的數據分析將提供逐步指導，以便這些新方法能夠輕鬆應用於專案中。附錄中有短篇教程，供有興趣深入了解這些語言的讀者參考。
數據和電腦程式將公開提供，以便讀者能夠複製模型開發，但學習新的統計語言並不是本書的必要條件。書中包含 R、SAS、SPSS 和 STATA 的程式碼，讓讀者能夠輕鬆實施。統計學、流行病學和公共衛生的研究人員及研究生將會發現本書特別有用。
作者簡介
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.
作者簡介(中文翻譯)
Jeffrey Wilson 是亞利桑那州立大學 W. P. Carey 商學院的統計學與生物統計學教授，以及研究副院長。他曾擔任《最小侵入性婦科學期刊》的統計學副編輯，並擔任亞利桑那州立大學的教職員運動代表。他在《醫學統計》、《美國公共衛生期刊》、《皇家統計學會C系列期刊》、《管理科學》、《商業與經濟統計期刊》、《計算統計學》和《澳大利亞統計學期刊》等領先期刊上發表了超過90篇文章。
Kent A. Lorenz 是舊金山州立大學運動學系的體育與身體活動副教授。他教授體能課程，以及在體育整合教師教育計劃中的初等與中等課程與教學，並為運動學碩士學位課程教授統計學入門課程。他的研究興趣集中在青少年身體活動和體能，特別強調綜合學校身體活動計劃。Lorenz 博士已發表25篇經過同行評審的期刊文章，並為多本書籍章節及《使用 SAS、SPSS 和 R 建模相關二元數據》的第一版作出貢獻。
Lori P. Selby 是數學與統計學院的博士候選人。她曾在特立尼達和多巴哥大學擔任數學與生物統計學講師。她是美國統計協會（ASA）及其亞利桑那州分會的成員。她也是美國公共衛生協會的成員。
