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.

Logistic Regression: A Self-Learning Text

Science & Math

Kleinbaum, David G.

Klein, Mitchel

Biological Sciences

Springer

Logistic Regression: A Self-Learning Text (Statistics for Biology and Health)

This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation 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, 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 mod- ing 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.

Politics & Social Sciences

Sociology

An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind.  Provides a "user-friendly" layout and includes numerous illustrations and exercises.  Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor.  Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Survival Analysis: A Self-Learning Text (Statistics for Biology and Health)

An excellent introduction for all those coming to the subject for the first time.
New material has been added to the second edition and the original six chapters have been modified.
The previous edition sold 9500 copies world wide since its release in 1996.
Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. 
Provides a "user-friendly" layout and includes numerous illustrations and exercises. 
Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. 
Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)

This highly readable book describes fundamental and advanced concepts and methods of logistic regression. The 3rd edition includes three new chapters, an updated computer appendix, and an expanded section on modeling guidelines that consider causal diagrams.

Kleinbaum, David G. G.

See the best price to sell, buy, or rent books by Klein, Mitchel. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Klein, Mitchel

See the best price to sell, buy, or rent books by Klein, Mitchel. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Logistic Regression: A Self-Learning Text

Logistic Regression: A Self-Learning Text (Statistics for Biology and Health)

Survival Analysis: A Self-Learning Text (Statistics for Biology and Health)

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)

Logistic Regression: A Self-Learning Text (Statistics for Biology and Health)

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)