Survival analysis : a self-learning text
This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well...
Shranjeno v:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
New York, NY :
Springer New York
2012.
Cham : Springer Nature |
| Serija: | Statistics for Biology and Health
|
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Survival analysis, a self-learning text, David G. Kleinbaum, Mitchel Klein, Third edition, 2012, New York, Springer, 1 vol. (XV-700 p.), Statistics for biology and health, 978-1-4419-6645-2 • Survival Analysis, Texte imprimé, 9781441966476 • Survival analysis, a self-learning text, David G. Kleinbaum, Mitchel Klein, Third edition, 2020, New York, Springer, 1 vol. (XV-700 p.), Statistics for biology and health, 978-1-4939-5018-8 |
Kazalo:
- Introduction to Survival Analysis
- Kaplan-Meier Survival Curves and the Log-Rank Test
- The Cox Proportional Hazards Model and Its Characteristics
- Evaluating the Proportional Hazards Assumption
- The Stratified Cox Procedure
- Extension of the Cox Proportional Hazards Model for Time-Dependent Variables
- Parametric Survival Models.- Recurrent Events Survival Analysis
- Competing Risks Survival Analysis.