The statistical analysis of failure time data /
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 ma...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
J. Wiley,
©2002.
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| Edition: | 2nd ed. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Front Matter
- Introduction
- 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 Multistate Models
- Modeling and Analysis of Recurrent Event Data
- Analysis of Correlated Failure Time Data
- Additional Failure Time Data Topics
- Glossary of Notation
- Appendix A: Some Sets of Data
- Appendix B: Supporting Technical Material
- Bibliography
- Author Index
- Subject Index
- Wiley Series in Probability and Statistics.
- 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.