Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology

Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology

Abstract Background Large and complex population-based cancer data are becoming broadly available, thanks to purposeful linkage between cancer registry data and health electronic records. Aiming at understanding the explanatory power of factors on cancer survival, the modelling and selection of vari...

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Bibliographic Details
Main Authors: Camille Maringe, Aurélien Belot, Francisco Javier Rubio, Bernard Rachet
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Medical Research Methodology
Subjects:
Excess hazard models
Interactions
Non-linearity
Non-proportionality
Variable selection
Online Access:http://link.springer.com/article/10.1186/s12874-019-0830-9

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http://link.springer.com/article/10.1186/s12874-019-0830-9

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