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Overview
The area's benchmark text, completely revised and updatedIn the twenty years since publication of the first edition of The Statistical Analysis of Failure Time Data, researchers have produced a library of material on this constantly evolving area. The theoretical underpinnings of established methods have been strengthened, the scope of application has been extended, and counting process methods and related martingale convergence results have led to precise and general asymptotic results. Addressing graduate students, practitioners, and researchers, Jack Kalbfleisch and Ross Prentice update their classic text with these and other current developments in the second edition of The Statistical Analysis of Failure Time Data.
The authors include exercises and examples in each chapter, tying these sophisticated methods to practical applications. The Second Edition develops the dynamics of multivariate failure time data, extends the present material on Markov and semi Markov formulations, and includes an emphasis on left truncation. The final chapter on special topics and examples of data analysis has been completely revised and updated. Other chapters include: *Inference in Parametric Models and Related Topics *Relative Risk (Cox) Regression Models *Competing Risks and Multistate Models *Modeling and Analysis of Recurrent Event Data *Analysis of Correlated Failure Time Data
With its comprehensive survey of the field and resources for students and researchers, The Statistical Analysis of Failure Time Data remains the benchmark text of the area.
Synopsis
The area's benchmark text, completely revised and updated
In the twenty years since publication of the first edition of The Statistical Analysis of Failure Time Data, researchers have produced a library of material on this constantly evolving area. The theoretical underpinnings of established methods have been strengthened, the scope of application has been extended, and counting process methods and related martingale convergence results have led to precise and general asymptotic results. Addressing graduate students, practitioners, and researchers, Jack Kalbfleisch and Ross Prentice update their classic text with these and other current developments in the second edition of The Statistical Analysis of Failure Time Data.
The authors include exercises and examples in each chapter, tying these sophisticated methods to practical applications. The Second Edition develops the dynamics of multivariate failure time data, extends the present material on Markov and semi Markov formulations, and includes an emphasis on left truncation. The final chapter on special topics and examples of data analysis has been completely revised and updated. Other chapters include:
- Inference in Parametric Models and Related Topics
- Relative Risk (Cox) Regression Models
- Competing Risks and Multistate Models
- Modeling and Analysis of Recurrent Event Data
- Analysis of Correlated Failure Time Data
With its comprehensive survey of the field and resources for students and researchers, The Statistical Analysis of Failure Time Data remains the benchmark text of the area.
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The Statistical Analysis of Failure Time Data was among those chosen.
Booknews
This graduate textbook surveys the statistical models and methods used to analyze failure time data, particularly in biomedical contexts. The authors cover inference in parametric models, the Cox regression model, likelihood construction, the accelerated time model, and multi- variate failure models. The second edition adds a chapter on counting processes, martingales, and the associated asymptotic theory. Annotation c. Book News, Inc., Portland, OR
Editorials
From The Critics
This graduate textbook surveys the statistical models and methods used to analyze failure time data, particularly in biomedical contexts. The authors cover inference in parametric models, the Cox regression model, likelihood construction, the accelerated time model, and multi- variate failure models. The second edition adds a chapter on counting processes, martingales, and the associated asymptotic theory. Annotation c. Book News, Inc., Portland, ORFrom the Publisher
"…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)