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...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2006. |
| シリーズ: | Statistics for Biology and Health
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| 主題: | |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Description d'après consultation du 24 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Dynamic regression models for survival data, Torben Martinussen, Thomas H. Scheike, 2006, New York, Springer Science+Business Media, 1 vol. (XIII-470 p.), Statistics for biology and health, 978-1-4419-1904-5 • Mathematical models for decision support, edited by Gautam Mitra,..., Berlin, Springer-Verlag, 1988, 1 vol. (IX-765 p.), NATO ASI series, 0-387-50084-7 • Dynamic regression models for survival data, Torben Martinussen, Thomas H. Scheike, 2006, New York, Springer Science+Business Media, 1 vol. (XIII-470 p.), Statistics for biology and health, 978-1-4419-1904-5 • Dynamic regression models for survival data, Torben Martinussen, Thomas H. Scheike, 2006, New York, Springer Science+Business Media, 1 vol. (XIII-470 p.), Statistics for biology and health, 978-1-4419-1904-5 • Mathematical models for decision support, edited by Gautam Mitra,..., Berlin, Springer-Verlag, 1988, 1 vol. (IX-765 p.), NATO ASI series, 0-387-50084-7 • Dynamic regression models for survival data, Torben Martinussen, Thomas H. Scheike, 2006, New York, Springer Science+Business Media, 1 vol. (XIII-470 p.), Statistics for biology and health, 978-1-4419-1904-5 • Dynamic regression models for survival data, Torben Martinussen, Thomas H. Scheike, 2006, New York, Springer Science+Business Media, 1 vol. (XIII-470 p.), Statistics for biology and health, 978-1-4419-1904-5 |
目次:
- 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