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Logistic Regression A Self-Learning Text 第三版 [推广有奖]

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zou2655503 发表于 2014-2-4 22:09:57 |AI写论文

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Author: David G. Kleinbaum and Mitchel Klein
  • Hardcover: 720 pages
  • Publisher: Springer; 3rd ed. 2010 edition (July 1 2010)
  • Language: English
  • ISBN-10: 1441917411
  • ISBN-13: 978-1441917416
  • This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing, assessing Goodness to Fit for Logistic Regression, assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves. The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.


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关键词:regression regressio logistic Learning logisti continuous different software emphasis putting

Logistic Regression A Self-Learning Text.pdf
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Logistic Regression A Self-Learning Text 第三版 作者David G. Kleinbaum and Mitchel Klein

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