This is the second edition of this text on logistic regression methods, originally published in 1994. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format 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 has expanded the first edition by adding five new chapters 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 generalized estimating equations (GEE) and other methods for analyzing correlated response data.

The appendix is titled "Computer Programs for Logistic Regression" and 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.

Also, Chapter 8 on the Analysis of Matched Data Using Logistic Regression has been expanded to include a discussion of three issues:
     a. Assessing interaction involving the matching variables
     b. Pooling exchangeable matched sets
     c. Analysis of matched follow-up data

        Authors:           David G. Kleinbaum, Professor
                                     Department of Epidemiology
                                     Rollins School of Public Health
                                     1518 Clifton Road NE
                                     Atlanta, Georgia 30322
                                     Phone: 404-727-9667
                                     Fax: 404-727-8737
                                     Email: dkleinb@sph.emory.edu
 

                                  Mitchel Klein, Research Assistant Professor
                                     Department of Epidemiology
                                     Rollins School of Public Health
                                     1518 Clifton Road NE
                                     Atlanta, Georgia 30322
                                     Phone: 404-727-9667
                                     Fax: 404-727-8737
                                     Email: mklein@sph.emory.edu

Erica R. Pryor of the School of Nursing, University of Alabama-Birmingham made made many important contributions to this second edition. This includes fine-tuning the content of the five new chapters and the appendix that have been added to the previous edition, taking primary responsibility for the pictures, formulae, symbols and summary information presented on the left side of the pages in each new chapter, performing a computer analysis of datrasets described in the text, and carefully editing and correcting errata in the first eight chapters as well as the new appendix on computer software procedures.

   The Publisher:     Springer-Verlag New York, Inc.
                                175 Fifth Avenue
                                New York, New York 10010
                  Web:      http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-22-1417200-0,00.html
                  Phone:    1-800-SPRINGER
                  Fax:        1-201-348-4505

    Price:              $79.95

    Description:   520 pages , 8 1/8 x 9 , 105 illus., hardcover
 

In Appendix A of the text (pages 437-486), computer programs for logistic regression are described. On the first page of this appendix (p. 437), we say that we will "provide these datasets on an accompanying disk". Such a disk was not actually provided with the textbook because it was more convenient to provide these datasets in this website for the user to download to his/her computer. Below are listed each of these datasets. The PC user may download any or all of these data sets by right clicking on a given dataset and following your computer's instruction for saving the datafile to your computer.

There are four types of datasets: (1) text datasets (with a .dat extension), (2) SAS version 8.0 datasets
(with a .sas7bdat extension), (3) SPSS datasets (with a .sav extension), and (4) Stata datasets (with a .dta extension).