Modeling Binary Correlated Responses using SAS, SPSS and R (ICSA Book Series in Statistics)
暫譯: 使用SAS、SPSS和R建模二元相關反應(ICSA統計書系列)

Jeffrey R. Wilson, Kent A. Lorenz

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商品描述

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. 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, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects.  Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

商品描述(中文翻譯)

統計工具用於分析相關的二元數據在現有文獻中廣泛存在。本書將這些工具集中在一個卷冊中,讓實務工作者能夠輕鬆使用。各章節涵蓋了最近開發的統計工具和專門針對分析相關二元數據的統計套件。作者展示了傳統和新方法在健康相關研究中的應用。本書提供的數據和計算機程序將公開,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。書中包含的 R、SAS 和 SPSS 的代碼使讀者能夠輕鬆實施。不過,對於有興趣深入了解這些語言的讀者,附錄中提供了簡短的教程。隨書的數據集可通過書籍網站下載。每章中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項目中。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。