by David G. Kleinbaum and Mitchel Klein
ISBN: 978-1-4419-1741-6
Springer Publishers New York, Inc.
August 2010
Overview The Authors Ordering Information |
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. The three new chapters are
In adding these three chapters, we have moved Chapters 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been re-numbered as Chapters 11-16 in this third edition.
New Chapter 8 addresses five issues on Modeling Strategy not covered in the previous two chapters (6 and 7) on this topic:
New Chapter 9 addresses methods for assessing the extent to which a binary logistic
model estimated from a dataset predicts the observed outcomes in the dataset, with particular focus on the Deviance statistic and the Hosmer-Lemeshow statistic.
New Chapter 10 addresses methods for assessing the extent that a fitted binary logistic
model can be used to distinguish the observed cases from the observed non-cases, with particular focus on ROC curves.
The modified appendix, Computer Programs for Logistic Regression, updates the corresponding appendix from the second edition. This appendix provides computer code and examples of computer programs for the different types of logistic models described in this third edition. The appendix is intended to describe the similarities and differences among some of the most widely used computer packages. The software packages considered are SAS version 9.2, SPSS version 16.0, and Stata version 10.0.
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.
ORDERING INFORMATION
The Publisher: Springer Publishers
New York, Inc.
175 Fifth Avenue
New York, New York 10010
Web: http://www.springer.com/statistics/life+sciences%2C+medicine+%26+health/book/978-1-4419-1741-6
Phone: 1-800-SPRINGER
Fax: 1-201-348-4505
Price: $99.00
Description: 701 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 should 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).
cancer.dat
cancer.sav
evans.sas7bdat
infant.dta
mi.dat
mi.sav
cancer.dta
evans.dat
evans.sav
infant.sas7bdat
mi.dta
cancer.sas7bdat
evans.dta
infant.dat
infant.sav
mi.sas7bdat
kneefr.sas7bdat
kneefr.dta
Please direct any additional comments or questions to:
David G. Kleinbaum, Ph.D.
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