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The statistical analysis of failure time data / John D. Kalbfleisch, Ross L. Prentice.

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Format:
Book
Author/Creator:
Kalbfleisch, J. D.
Contributor:
Prentice, Ross L.
Wiley InterScience (Online service)
Frances Houston Medical Book Fund.
Series:
Wiley series in probability and statistics
Language:
English
Subjects (All):
Failure time data analysis.
Survival analysis (Biometry).
Regression analysis.
Models, Statistical.
Regression Analysis.
Survival Analysis.
Medical Subjects:
Models, Statistical.
Regression Analysis.
Survival Analysis.
Physical Description:
1 online resource (xiii, 439 pages) : illustrations.
Edition:
Second edition.
Place of Publication:
Hoboken, N.J. : J. Wiley, [2002]
System Details:
text file
Summary:
* 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.
Contents:
Failure time models
Inference in parametric models and related topics
Relative risk (Cox)regression models
Counting processes and asymptotic theory
Likelihood construction and further results
Rank regression and the accelerated failure time model
Competing risks and multi-state models
Modeling and analysis of recurrent event data
Analysis of correlated failure time data
Additional failure time data topics
Appendix A: Some sets of data
Appendix B: Some supporting technical material.
Notes:
Description based on print version record.
Includes bibliographical references (pages 404-427) and indexes.
Electronic reproduction. Hoboken, N.J. Available via World Wide Web.
Local Notes:
Acquired for the Penn Libraries with assistance from the Frances Houston Medical Book Fund.
Other Format:
Print version: The statistical analysis of failure time data.
ISBN:
1118031237
9781118031230
Publisher Number:
99950203217
Access Restriction:
Restricted for use by site license.

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