Dynamic Regression Models for Survival Data
In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternat...
| Κύριοι συγγραφείς: | , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2006.
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| Σειρά: | Statistics for Biology and Health,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Probabilistic background
- Estimation for filtered counting process data
- Nonparametric procedures for survival data
- Additive Hazards Models
- Multiplicative hazards models
- Multiplicative-Additive hazards models
- Accelerated failure time and transformation models
- Clustered failure time data
- Competing Risks Model
- Marked point process models.
