Competing risks and multistate models with R
Competing Risks and Multistate Models with R covers models that generalize the analysis of time to a single event (survival analysis) to analyzing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted...
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| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2012. |
| Collection: | Use R!
|
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Competing risks and multistate models with R, Jan Beyersmann, Arthur Allignol, Martin Schumacher, New York [etc.], Springer, 2012, 1 volume (xi-245 pages), Use R!, 978-1-461-42034-7 • Competing risks and multistate models with R, Jan Beyersmann, Arthur Allignol, Martin Schumacher, New York [etc.], Springer, 2012, 1 volume (xi-245 pages), Use R!, 978-1-461-42034-7 • Competing Risks and Multistate Models with R, Texte imprimé, 9781461420361 |
Table des matières:
- Data examples An informal introduction to hazard-based analyses Competing risks Multistate modelling of competing risks Nonparametric estimation Proportional hazards models Nonparametric hypothesis testing Further topics in competing risks Multistate models and their connection to competing risks Nonparametric estimation Proportional transition hazards models Time-dependent covariates and multistate models Further topics in multistate modeling