Survival analysis with Cox regression and random non-linear projections

Samuel Branders, Benoît Frénay, Pierre Dupont

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Résumé

Proportional Cox hazard models are commonly used in survival analysis, since they define risk scores which can be directly interpreted in terms of hazards. Yet they cannot account for non-linearities in their covariates. This paper shows how to use random non-linear projections to efficiently address this limitation.

langue originaleAnglais
titre23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings
Editeuri6doc.com publication
Pages119-124
Nombre de pages6
ISBN (Electronique)9782875870148
Etat de la publicationPublié - 2015
Evénement23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Bruges, Belgique
Durée: 22 avr. 201524 avr. 2015

Une conférence

Une conférence23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015
PaysBelgique
La villeBruges
période22/04/1524/04/15

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  • Contient cette citation

    Branders, S., Frénay, B., & Dupont, P. (2015). Survival analysis with Cox regression and random non-linear projections. Dans 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings (p. 119-124). i6doc.com publication.