- Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.
- Introduces the martingale and counting process formulation swil lbe in a new chapter.
- Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.
- Presents new examples and applications of data analysis.
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Editorial Reviews
Review
"…provides excellent exposure to the theory." (Journal of Statistical Computation and Simulation, June 2005)
"The book contains a wealth of material and analytic insight…will continue to be an invaluable resource for all researchers and graduate students in the field…for years to come." (Journal of the American Statistical Association, December 2003)
"...researchers in hazard function are likely to find new and valuable information in this book..." (Journal of Mathematical Psychology, Vol. 47 2003)
"Do you work in life statistics or reliability statistics? If so, you probably need this book...it contains everything you have ever wanted to know plus a lot more...the second edition...is a great book—improved, modernized, and comprehensive..." (Technometrics, Vol. 45, No. 3, August 2003)
"A review of the first edition, my first contribution to Short Book Reviews...stated 'This book should become a standard reference in the field.' In view of the undeniable accuracy of that prediction, need I say more?" (Short Book Reviews, Vol. 23, No. 2, August 2003)
From the Publisher
Synthesizes statistical models and methods for the analysis of failure time or ``survival'' data. Focuses on regression problems with survival data, specifically the estimation of regression coefficients and distributional shape in the presence of shaping. Deals with the theory, applications and extensions of the proportional hazards model. Includes worked examples and problems for solution.
--This text refers to an out of print or unavailable edition of this title.
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Most Helpful Customer Reviews
2 of 2 people found the following review helpful:
4.0 out of 5 stars
Nice as a reference.... not so good as a class textbook,
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Amazon Verified Purchase(What's this?)
This review is from: The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics) (Hardcover)
I believe it is a good book that you can use as a reference book but definitely not as good for a textbook. At many points I feel like the authors are just saying something, and they feel that the reader should believe them, even if they don't justify it.As class textbooks I like books that give very detailed explanations about everything... because do not forget... Students are people that have their first touch with those materials. Something obvious to the writer... is not obvious to the reader, especially if that student is a student. If I rate it as a textbook that my professor suggested I will give it low ratings, but since it is not the authors fault if someone suggest this as a textbook then I will see it as a book generally and I will give it 4 stars because it is really good for a reference book.
4 of 6 people found the following review helpful:
5.0 out of 5 stars
A welcome and well-written update to a classic in the field.,
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This review is from: The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics) (Hardcover)
The prior edition of this book has long been used for introductory courses in survival analysis for statistics students, and its treatment of the proportional hazards model and partial likelihood is classic. Contrary to the claims of another reviewer here, notation for the survival function is far from standardized in the field. In fact, both this book and another standard text ("Analysis of Survival Data" by D.R. Cox and D. Oakes) represent this quantity with an "F". An excellent and authoratative introduction for students with some knowledge of theoretical statistics.
5.0 out of 5 stars
Good Quality and Decent Price,
Amazon Verified Purchase(What's this?)
This review is from: The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics) (Hardcover)
Very good book to use as a reference when analyzing failure data. Always enjoyed Wiley series books as they are straightforward to follow.
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Inside This Book
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First Sentence:
We consider methods for the analysis of data when the response of interest is the time until some event occurs. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
bivariate survivor function, survivor function estimators, correlated failure time data, partial likelihood argument, recurrent event data, frailty variate, derived covariates, failure time methods, latent failure times, basic covariates, partial likelihood analysis, failure time endpoints, independent left truncation, optional variation process, predictable variation process, independent censoring assumption, baseline cumulative hazard function, approximate partial likelihood, generalized rank vector, relative risk regression model, counting process notation, random censorship model, martingale convergence results, relative risk model, continuous failure times Key Phrases - Capitalized Phrases (CAPs): (learn more)
Age Time, Monte Carlo New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
We consider methods for the analysis of data when the response of interest is the time until some event occurs. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
bivariate survivor function, survivor function estimators, correlated failure time data, partial likelihood argument, recurrent event data, frailty variate, derived covariates, failure time methods, latent failure times, basic covariates, partial likelihood analysis, failure time endpoints, independent left truncation, optional variation process, predictable variation process, independent censoring assumption, baseline cumulative hazard function, approximate partial likelihood, generalized rank vector, relative risk regression model, counting process notation, random censorship model, martingale convergence results, relative risk model, continuous failure times Key Phrases - Capitalized Phrases (CAPs): (learn more)
Age Time, Monte Carlo New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
See all 100 books this book cites
100
books
cite this book:
See all 100 books citing this book
- Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) by Elisa T. Lee in Back Matter (1), and Back Matter (2)
- Survival Analysis by John P. Klein in Back Matter (1), and Back Matter (2)
- Counting Processes and Survival Analysis (Wiley Series in Probability and Statistics) by Thomas R. Fleming in Back Matter (1), and Back Matter (2)
- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box in Back Matter
- Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics) by Charles E. McCulloch in Back Matter
See all 100 books this book cites
- Statistical Reliability Theory (Probability: Pure and Applied) by I. B. Gertsbakh on 4 pages
- Search Models and Applied Labor Economics by Nicholas M. Kiefer on 4 pages
- Case Studies in Reliability and Maintenance (Wiley Series in Probability and Statistics) by Wallace R. Blischke on page 33, page 653, and Back Matter
- Survival Analysis (Wiley Classics Library) by Rupert G. Miller Jr. on page 20, page 127, and Back Matter
- Handbook of the Logistic Distribution (Statistics: A Series of Textbooks and Monographs) by N. Balakrishnan on page 221, and Back Matter
See all 100 books citing this book
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