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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Andersen, Per Kragh (Autor), Skovgaard, Lene Theil (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Statistics for Biology and Health,
Temas:
Statistics .
Biometry.
Statistical Theory and Methods.
Biostatistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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