Product Description

Praise for the First Edition
"An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ."
-Choice
"This is an important book, which will appeal to statisticians working on survival analysis problems."
-Biometrics
"A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook."
-Statistics in Medicine
The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data.
Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts.
New and expanded coverage in this edition includes:
* Observation schemes for lifetime data
* Multiple failure modes
* Counting process-martingale tools
* Both special lifetime data and general optimization software
* Mixture models
* Treatment of interval-censored and truncated data
* Multivariate lifetimes and event history models
* Resampling and simulation methodology

Product Details

• Amazon Sales Rank: #885812 in Books
• Published on: 2002-11-27
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 664 pages

Review
"...excellent...provides a wealth of information for those familiar with the area." -- Pharmaceutical Research, Vol. 20, No. 9September 2003

"...the author's aim is to cover lifetime data analysis without concentrating exclusively on any field of applications...he succeeds quite well..." -- Zentralblatt Math, 2003

"...updated version of the popular text...this excellent book will serve as either a reference or a graduate-level textbook." -- Short Book Reviews, Vol. 23, No. 2, August 2003

“...a welcome addition to the literature on survival analysis...for a unified and thorough reference of classical theory and models, this book is an excellent choice.” (Journal of the American Statistical Association, March 2004)

"This book is a role-model for other who are planning to write books…every statistician and applied researcher ought to have this book in their collection." (Journal of Statistical Computation and Simulation, October 2003)

"...expanded and updated with recent research...a valuable reference...this book...merits a place on the bookshelf of anyone concerned with the analysis of lifetime data from any field. (Technometrics, Vol. 45, No. 3, August 2003)

"...updated version of the popular text...this excellent book will serve as either a reference or a graduate-level textbook." (Short Book Reviews, Vol. 23, No. 2, August 2003)

"...excellent...provides a wealth of information for those familiar with the area." (Pharmaceutical Research, Vol. 20, No. 9, September 2003)

"...the author's aim is to cover lifetime data analysis without concentrating exclusively on any field of applications...he succeeds quite well..." (Zentralblatt Math, 2003)

“...rewritten to reflect new developments...” (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003)

"Compared with the large number of other good textbooks in the this field, this is one of the best. I highly recommend that all applied statisticians add this volume to their libraries." (Applied Clinical Trials, May 2003)

From the Publisher
A unified treatment of models and statistical methods used in the analysis of lifetime or response time data. Draws together the most important, up-to-date methods used in engineering, medical and the biological sciences, including parametric, distribution-free, nonparametric, and graphical methods. Numerical illustrations and examples involving real data demonstrate the application of each method to problems in areas such as reliability, product performance evaluation, clinical trials, and experimentation in the biomedical sciences.

From the Back Cover
Praise for the First Edition

"An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ."
–Choice

"This is an important book, which will appeal to statisticians working on survival analysis problems."
–Biometrics

"A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook."
–Statistics in Medicine

The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data.

Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts.

New and expanded coverage in this edition includes:

• Observation schemes for lifetime data
• Multiple failure modes
• Counting process-martingale tools
• Both special lifetime data and general optimization software
• Mixture models
• Treatment of interval-censored and truncated data
• Multivariate lifetimes and event history models
• Resampling and simulation methodology

Customer Reviews

one of the best texts on life data analysis
When I started my biostatistical career in 1995 at a medical device company this was the book I relied on for valuable reference information on life tables and survival curves. This book is particularly good at dealing with nonparametric methods and covering the distinctions between the various types of censoring.

There are now also a number of other good books with more recent developments. Nelson's book was a competitor. Under the subject of reliability the same important paramatric models are covered in such books as the one by Mann, Schafer and Singpurwalla, the recent text by Meeker and Escobar and the book by Blischke and Murthy. Hougaard covers multivariate models.

Excellent for Pre-Multivariate Survival Analysis
This is one of the best books about survival data analysis, or lifetime analysis. This book covers univariate survival data analysis, providing necessary mathematical details. But it does not deal with multivariate cases. If you are climbing from the univariate toward multivariate, and taking a rest, this is perfect. This books is kind. However, watch two warnings. If you need accompanying software manuals, this book doesn't provide S-Plus, SAS, Stata or other advanced software code. Second, if you need competing risk or multivariate model, try others, including Hougaard or Cox. Elisa T. Lee's book presents less detail, but is still excellent, or may be better, depending reader's needs.

Not so easy to understand!
I bought this book for "life data analysis class" (it was required). Unfortunately the book has not been as helpful as the professor and the students thought it might be. You have to go through many chapters to understand one concept, and according to my professor the second version of the book is not better than the first one.
If you are into the field of life data analysis it might be good but I don't recommend the book for someone just starting.