Survival Analysis

1. Front Matter

   Pages i-xvi

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2. Introduction to Survival Analysis

   Pages 1-43

3. Kaplan-Meier Survival Curves and the Log-Rank Test

   Pages 45-82

4. The Cox Proportional Hazards Model and Its Characteristics

   Pages 83-129

5. Evaluating the Proportional Hazards Assumption

   Pages 131-171

6. The Stratified Cox Procedure

   Pages 173-210

7. Extension of the Cox Proportional Hazards Model for Time-Dependent Variables

   Pages 211-256

8. Parametric Survival Models

   Pages 257-329

9. Recurrent Event Survival Analysis

   Pages 331-390

10. Competing Risks Survival Analysis

    Pages 391-461

11. Back Matter

    Pages 463-590

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This is the second edition of this text on survival analysis, originallypublishedin1996. Asinthe?rstedition,eachch- ter contains a presentation of its topic in “lecture-book” f- mat together with objectives, an outline, key formulae, pr- tice exercises, and a test. The “lecture-book” format has a sequence of illustrations and formulae in the left column of eachpageandascriptintherightcolumn. Thisformatallows youtoreadthescriptinconjunctionwiththeillustrationsand formulae that high-light the main points, formulae, or ex- ples being presented. This second edition has expanded the ?rst edition by adding three new chapters and a revised computer appendix. The three new chapters are: Chapter 7. Parametric Survival Models Chapter 8. Recurrent Event Survival Analysis Chapter 9. Competing Risks Survival Analysis Chapter 7 extends survival analysis methods to a class of s- vival models, called parametric models, in which the dist- bution of the outcome (i. e. , the time to event) is speci?ed intermsofunknownparameters. Manysuchparametricmodels are acceleration failure time models, which provide an alt- native measure to the hazard ratio called the “acceleration factor”. The general form of the likelihood for a parametric model that allows for left, right, or interval censored data is also described. The chapter concludes with an introduction to frailty models. Chapter8considerssurvivaleventsthatmayoccurmorethan once over the follow-up time for a given subject. Such events are called “recurrent events”.

• Excel
• Likelihood
• Logistic Regression
• SAS
• SPSS
• Survival Analysis
• linear regression

"Imagine---a statistics textbook that actually explains things in English instead of explaining a topic by bombarding the reader with page-widthj equations requiring an advanced degree in Math just to read the book. If it weren't for this book, I would be really stuck." (David Britz)

From the reviews of the second edition:

"The most meaningful accolade that I can give to this text is that it admirably lives up to its title." Journal of the American Statistical Association, September 2006

"This text is … an elementary introduction to survival analysis. It is primarily intended for self-study, but it has also proven useful as a basic text in a standard classroom course … . Each chapter starts with an Introduction, an Abbreviated outline, and Objectives, and ends with self tests, exercises and a detailed outline. Solutions to tests and exercises are also provided." (Göran Broström, Zentralblatt MATH, Vol. 1093 (19), 2006)

• Department of Epidemiology Rollins School of Public Health, Emory University, Atlanta

  David G. Kleinbaum, Mitchel Klein

David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning.

Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (EOH) and the Department of Epidemiology, also at the Rollins School of Public Health at Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-LearningText (2002). He has regularly taught epidemiologic methods courses at Emory to graduate students in public health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emory’s Master of Science in Clinical Research Program, and has collaborated with Dr. Kleinbaum both nationally and internationally in teaching several short courses on various topics in epidemiologic methods.

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