Statistical Models and Methods for Lifetime Data (Wiley Series in Probability & Mathematical Statistics) (Hardcover)

by J. F. Lawless (Author), Jerald F. Lawless (Author) "The statistical analysis of what is variously referred to as lifetime, survival time, or failure time data has developed into an important topic for workers..." (more)
Key Phrases: simple linear estimators, life test plans, standard extreme value distribution, Monte Carlo, Cramer-von Mises, Quantile Function (more...)

Editorial Reviews

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) --This text refers to the Hardcover edition.

Product Description
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.

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Product Details

• Hardcover: 592 pages
• Publisher: John Wiley & Sons; 1 edition (January 8, 1982)
• Language: English
• ISBN-10: 0471085448
• ISBN-13: 978-0471085447
• Product Dimensions: 9.1 x 6 x 1.4 inches
• Shipping Weight: 2 pounds
• Average Customer Review: 4.2 out of 5 stars See all reviews (4 customer reviews)
• Amazon.com Sales Rank: #1,758,135 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

15 of 15 people found the following review helpful:

5.0 out of 5 stars one of my favorite books on survival analysis, April 21, 2001

By	Michael R. Chernick "statman13" (Malvern, PA) - See all my reviews (REAL NAME)

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 cover multivariate models.

9 of 9 people found the following review helpful:

5.0 out of 5 stars one of the best texts on life data analysis, January 24, 2008

By	Michael R. Chernick "statman31147" (Holland PA) - See all my reviews (REAL NAME)

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.

9 of 9 people found the following review helpful:

5.0 out of 5 stars Excellent for Pre-Multivariate Survival Analysis, October 4, 2006

By	Loch (Seoul, Korea) - See all my reviews

This review is from: Statistical Models and Methods for Lifetime Data (Wiley Series in Probability and Statistics) (Hardcover)

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.