Synopses & Reviews
The areas 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 Newsasked three review editors to rate their top five favorite books in the September 2003 issue. The Statistical Analysis of Failure Time Datawas among those chosen.
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)
Synopsis
* 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.
Synopsis
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.
About the Author
JOHN D. KALBFLEISCH, PhD, is Professor of Biostatistics at the University of Michigan in Ann Arbor and the University of Waterloo in Ontario, Canada.
ROSS L. PRENTICE, PhD, is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and the University of Washington in Seattle.
Table of Contents
Failure Time Models.
Inference in Parametric Models and Related Topics.
The Proportional Hazards Model.
Likelihood Construction and Further Results on the Proportional Hazards Model.
Inference Based on Ranks in the Accelerated Failure Time Model.
Multivariate Failure Time Data and Competing Risks.
Miscellaneous Topics.
Appendixes: Some Sets of Data; Exercises and Further Results; Fortran Programs for the Proportional Hazards Model.
Bibliography.
Subject & Author Indexes.