Regression with Linear Predictors
This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done by focusing on the many common aspects of these models, in particular the linear predictor, which co...
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| Główni autorzy: | , |
|---|---|
| Kolejni autorzy: | |
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Seria: | Statistics for Biology and Health
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| Hasła przedmiotowe: | |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Regression with linear predictors, Per Kragh Andersen, Lene Theil Skovgaard, 2010, New York [etc.], Springer, 1 vol. (XI-494 p.), Statistics for biology and health, 978-1-441-97169-2 |
Spis treści:
- Statistical models
- One categorical covariate
- One quantitative covariate
- Multiple regression, the linear predictor
- Model building: From purpose to conclusion
- Alternative outcome types and link functions
- Further topics.