Improving efficiency of fitting Cox proportional hazards models for time-to-event outcomes in genome-wide association studies (GWAS).


Journal

Bioinformatics advances
ISSN: 2635-0041
Titre abrégé: Bioinform Adv
Pays: England
ID NLM: 9918282081306676

Informations de publication

Date de publication:
2023
Historique:
received: 17 04 2023
revised: 02 10 2023
accepted: 11 10 2023
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: epublish

Résumé

Technologies identifying single nucleotide polymorphisms ( The method is simple to implement as the procedures are available in most statistical packges. The approach involves obtaining Cox-Snell residuals from a

Identifiants

pubmed: 37928342
doi: 10.1093/bioadv/vbad148
pii: vbad148
pmc: PMC10625458
doi:

Types de publication

Journal Article

Langues

eng

Pagination

vbad148

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Déclaration de conflit d'intérêts

None declared.

Références

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Auteurs

Val Gebski (V)

NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW 1450, Australia.

S Sandun M Silva (SSM)

NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW 1450, Australia.

Karen Byth (K)

NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW 1450, Australia.

Alicia Jenkins (A)

NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW 1450, Australia.

Anthony Keech (A)

NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW 1450, Australia.

Classifications MeSH