The Statistical Analysis of Failure Time Data

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John Wiley & Sons, 2011/01/25 - 462 ページ
* 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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目次

1 Introduction
1
2 Failure Time Models
31
3 Inference in Parametric Models and Related Topics
52
4 Relative Risk Cox Regression Models
95
5 Counting Processes and Asymptotic Theory
148
6 Likelihood Construction and Further Results
193
7 Rank Regression and the Accelerated Failure Time Model
218
8 Competing Risks and Multistate Models
247
10 Analysis of Correlated Failure Time Data
302
11 Additional Failure Time Data Topics
328
Glossary of Notation
375
Appendix A Some Sets of Data
378
Appendix B Supporting Technical Material
396
Bibliography
404
Author Index
429
Subject Index
435

9 Modeling and Analysis of Recurrent Event Data
278

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著者について (2011)

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.

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