Overview The Authors Ordering Information 
This is the third edition of this text on survival analysis, originally published in 1996. As in the first and second editions, each chapter contains a presentation of its topic in “lecturebook” format together with objectives, an outline, key formulae, practice exercises, and a test. The “lecturebook” format has a sequence of illustrations and formulae in the left column of each page and a script in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that high light the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding one new chapter, additional sections and clarifications to several chapters, and a revised computer appendix. The new chapter is Chapter 10, Design Issues for Randomized Trials, which considers how to compute sample size when designing a randomized trial involving timetoevent data. We have expanded Chapter 1 to clarify the distinction between random, independent and noninformative censoring assumptions often made about survival data. We also added a section in Chapter 1 that introduces the Counting Process data layout that is discussed in later chapters (3, 6, and 8). We added sections in Chapter 2 to describe how to obtain confidence intervals for the KaplanMeier (KM) curve and the median survival time obtained from a KM curve. We have expanded Chapter 3 on the Cox Proportional Hazards (PH) Model by describing the use of age as the time scale instead of timeonfollowup as the outcome variable. We also added a section that clarifies how to obtain confidence intervals for PH models that contain product terms that reflect effect modification of exposure variables of interest. We have added sections that describe the derivation of the (partial) likelihood functions for the Stratified Cox (SC) Model in Chapter 5 and the Extended Cox Model in Chapter 6. We have expanded Chapter 9 on Competing Risks to describe the Fine and Gray model for a subdistribution hazard that allows for a multivariable analysis involving a Cumulative Incidence Curve (CIC). We also added a numerical example to illustrate the calculation of a Conditional Probability Curve (CPC) defined from a CIC. In addition to the above new material, the original nine chapters have been modified slightly to correct for errata in the second edition and to add or modify exercises provided at the end of some chapters. 
Authors:  David G. Kleinbaum, Professor Department of Epidemiology Rollins School of Public Health 1518 Clifton Road NE Atlanta, Georgia 30322 Phone: 4047279667 Fax: 4047278737 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: 4047279667 Fax: 4047278737 Email: mklein@sph.emory.edu 
ORDERING INFORMATION
The Publisher:  Springer Publishers New York, Inc. 175 Fifth Avenue New York, New York 10010
Web:
http://www.springer.com/sgw/cda/frontpage/0,11855,44010922775026600,00.html

Price: 
$79.95 
Description: 
520 pages , 8 1/8 x 9 , 105 illus., hardcover 
DATA FILES
In the Computer Appendix of the text (pages ), computer programs for carrying out a survival analysis are described. Below
are listed the "addicts" and "bladder cancer" datasets that are utilized in the appendix plus other datasets that have been
used as examples and exercises throughout the text. 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) Stata datasets (with a .dta extension), (2) SAS version 8.2 datasets (with a .sas7bdat extension), (3) SPSS datasets (with a .sav extension), and (4) text datasets (with a .dat extension).
addicts.sas7bdat addicts.sav addicts.dat anderson.dta anderson.sas7bdat anderson.sav anderson.dat bladder.dta bladder.sas7bdat bladder.sav bladder.dat vets.dta vets.sas7bdat vets.sav vets.dat 
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: 4047279667
Fax: 4047278737
Email: dkleinb@sph.emory.edu