A new linear regression-like residual for survival analysis, with application to genome wide association studies of time-to-event data.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2020
2020
Historique:
received:
14
11
2019
accepted:
11
04
2020
entrez:
5
5
2020
pubmed:
5
5
2020
medline:
28
7
2020
Statut:
epublish
Résumé
In linear regression, a residual measures how far a subject's observation is from expectation; in survival analysis, a subject's Martingale or deviance residual is sometimes interpreted similarly. Here we consider ways in which a linear regression-like interpretation is not appropriate for Martingale and deviance residuals, and we develop a novel time-to-event residual which does have a linear regression-like interpretation. We illustrate the utility of this new residual via simulation of a time-to-event genome-wide association study, motivated by a real study seeking genetic modifiers of Duchenne Muscular Dystrophy. By virtue of its linear regression-like characteristics, our new residual may prove useful in other contexts as well.
Identifiants
pubmed: 32365095
doi: 10.1371/journal.pone.0232300
pii: PONE-D-19-31735
pmc: PMC7197860
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0232300Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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