Logistic Regression: A Self-Learning Text (3rd Edition) by Kleinbaum & Klein [Dr.Soc]

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Logistic Regression: A Self-Learning Text (3rd Edition)

Author: David G. Kleinbaum, Mitchel Klein
Hardcover: 702 pages
Publisher: Springer; 3rd ed. 2010 edition (July 1, 2010)
Language: English
ISBN-10: 1441917411
ISBN-13: 978-1441917416
Format: PDF


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Summary:

This is the third edition of this text on logistic regression methods, originally published in 1994, with its second edition published in 2002. As in the first two editions, 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 illustrations, formulae, or summary statements 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 third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of modeling strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been ren- bered as Chaps. 11–16 in this third edition.
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Logistic Regression: A Self-Learning Text (3rd Edition) by Kleinbaum & Klein [Dr.Soc]