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Logistic Regression (2nd Edition)
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Binding: Hardcover
Dewey Decimal Number: 610.727
EAN: 9780387953977
Edition: 2nd
ISBN: 0387953973
Label: Springer
Manufacturer: Springer
Number Of Items: 1
Number Of Pages: 536
Publication Date: October 25, 2005
Publisher: Springer
Studio: Springer
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Editorial Review:
This is the second edition of this text on logistic regression methods. 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 illustrations 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 includes five new chapters and an appendix. The new chapters are: Chapter 9. Polytomous Logistic Regression Chapter 10. Ordinal Logistic Regression Chapter 11. Logistic Regression for Correlated Data 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 generalized estimating equations (GEE) and other methods for analyzing correlated response data. The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS Version 8.0, SPSS Version 10.0 and STATA Version 7.0.
Customer Reviews
Average Rating: 
Rating:  - An excellent textbook
The textbook "Logistic Regression" is an excellent textbook of this statistical method because it is complete and relatively easy. This method will never be really easy but the Authors present the logistic regression in an comprehensible way introducing progressively new terms. The provide many simple clinical examples.
Rating: - Logistic Regression
Kleinbaum has done it again. His books are so informative and easy to understand. It is worth the money.
Rating: - Must have
Simply the best logistic regression book I've seen. Concepts clearly and succinctly explained and illustrated.
A must-have for all biostatisticians.
Rating:  - depends on what background you are coming from...
I'm a physician learning about clinical research/biostatistics etc. I found that this book was extremely helpful in guiding me through basic rules, steps and theories on how to build a logistic regression model. The examples where straight forward, even for a person without a strong math background. However, I can also see that this would not be enough for a person set out to be a biostatistician, as this book would seem rather elementary. If you are a person with a so-so background in math and ... Read More
Rating: - Good for what it is
This book has a specific goal. It's aim is to give a basic competence in the use of logistic regression, related techniques, and the software that deal with them. This, it does very well. By intent, it leaves many other needs unmet.
The format is 13 chapters, possibly representing the 13 or 14 weeks in a typical school term. Each chapter has a specific statement of teaching goals at the front, a summary outline of the course to date in the back, and a few pages of questions or exercises with answers. ... Read More
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