书目名称 | Logistic Regression | 副标题 | A Self-Learning Text | 编辑 | David G. Kleinbaum,Mitchel Klein | 视频video | | 概述 | Includes supplementary material: | 丛书名称 | Statistics for Biology and Health | 图书封面 |  | 描述 | This is the second edition of this text on logistic regression methods, ori- nally published in 1994. As in the first edition, each chapter contains a presentation of its topic in “lecture-book” format together with objectives, an outline, key formulae, practice exercises, and a test. The “lecture-book” has a sequence of illust- tions and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This second edition has expanded the first edition by adding five new ch- ters and a new appendix. The five new chapters are Chapter 9. Polytomous Logistic Regression Chapter 10. Ordinal Logistic Regression Chapter 11. Logistic Regression for Correlated Data: GEE Chapter 12. GEE Examples Chapter 13. Other Approaches for Analysis of Correlated Data Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11–13 extend logistic regression to gen- alized estimating equations (GEE) and other methods for analyzing cor- lated response data. The appendix | 出版日期 | Textbook 20022nd edition | 关键词 | Likelihood; Logistic Regression; Odds; SAS; SPSS | 版次 | 2 | doi | https://doi.org/10.1007/b97379 | isbn_ebook | 978-0-387-21647-8Series ISSN 1431-8776 Series E-ISSN 2197-5671 | issn_series | 1431-8776 | copyright | Springer-Verlag New York 2002 |
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