Analysis of Multivariate Survival Data /
Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate t...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York,
2000.
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| Series: | Statistics for biology and health.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction
- Univariate survival data
- Dependence structures
- Bivariate dependence measures
- Probability aspects of multi-state models
- Statistical inference for multi-state models
- Shared frailty models
- Statistical inference for shared frailty models
- Shared frailty models for recurrent events
- Multivariate frailty models
- Instantaneous and short-term frailty models
- Competing risks models
- Marginal and copula modelling
- Multivariate non-parametric estimates
- Summary
- Mathematical results
- Iterative solutions
- References
- Index.