Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
This new edition provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for l...
Gardado en:
| Auteurs principaux: | , , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
New York, NY :
Springer New York
2012.
Cham : Springer Nature |
| Series: | Statistics for Biology and Health
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| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Contributeurs : Charles E. McCulloch (auteur) Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Regression methods in biostatistics, linear, logistic, survival, and repeated measures models, Eric Vittinghoff, Stephen C.Shiboski, David V.Glidden... [et al.], 2nd edition, 2004, New York, Springer, 1 vol. (XX-509 p.), Statistics for biology and health, 978-1-4614-1352-3 • Regression Methods in Biostatistics, Texte imprimé, 9781461413547 • Regression Methods in Biostatistics, Texte imprimé, 9781489998545 |
Table des matières:
- Introduction
- Exploratory and Descriptive Methods
- Basic Statistical Methods
- Linear Regression
- Logistic Regression
- Survival Analysis
- Repeated Measures Analysis
- Generalized Linear Models
- Strengthening Casual Inference
- Predictor Selection
- Complex Surveys
- Summary.