Survival analysis with Cox regression and random non-linear projections

Samuel Branders; Benoît Frénay; Pierre Dupont

Survival analysis with Cox regression and random non-linear projections

Samuel Branders, Benoît Frénay, Pierre Dupont

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings
Publisher	i6doc.com publication
Pages	119-124
Number of pages	6
ISBN (Electronic)	9782875870148
Publication status	Published - 2015
Event	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Bruges, Belgium Duration: 22 Apr 2015 → 24 Apr 2015

Conference

Conference	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015
Country/Territory	Belgium
City	Bruges
Period	22/04/15 → 24/04/15

Cite this

@inproceedings{a44f8c1ee9ac4147a0107315b08b62e2,

title = "Survival analysis with Cox regression and random non-linear projections",

abstract = "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.",

author = "Samuel Branders and Beno{\^i}t Fr{\'e}nay and Pierre Dupont",

year = "2015",

language = "English",

pages = "119--124",

booktitle = "23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings",

publisher = "i6doc.com publication",

note = "23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 ; Conference date: 22-04-2015 Through 24-04-2015",

}

Branders, S, Frénay, B & Dupont, P 2015, Survival analysis with Cox regression and random non-linear projections. in 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com publication, pp. 119-124, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, Bruges, Belgium, 22/04/15.

Survival analysis with Cox regression and random non-linear projections. / Branders, Samuel; Frénay, Benoît; Dupont, Pierre.
23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com publication, 2015. p. 119-124.

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Survival analysis with Cox regression and random non-linear projections

AU - Branders, Samuel

AU - Frénay, Benoît

AU - Dupont, Pierre

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84961827973&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84961827973

SP - 119

EP - 124

BT - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings

PB - i6doc.com publication

T2 - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015

Y2 - 22 April 2015 through 24 April 2015

ER -

Survival analysis with Cox regression and random non-linear projections

Abstract

Conference

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