A corrected smoothed score approach for semiparametric accelerated failure time model with error-contaminated covariates.
measurement error
rank-based estimator
smoothing
survival
Journal
Statistics in medicine
ISSN: 1097-0258
Titre abrégé: Stat Med
Pays: England
ID NLM: 8215016
Informations de publication
Date de publication:
30 09 2023
30 09 2023
Historique:
revised:
05
06
2023
received:
07
07
2022
accepted:
01
07
2023
medline:
5
9
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
ppublish
Résumé
We consider the semiparametric accelerated failure time (AFT) model with multiple covariates measured with error. Existing methods for the AFT model are either inconsistent, computationally intensive, or require stringent assumptions. To overcome these limitations, we develop a correction approach for a general smooth function of error-contaminated variables. We apply this method to the smoothed rank-based score function for the AFT model. The estimator is consistent and asymptotically normal. The finite-sample performance of the method is assessed by simulation studies. The approach is illustrated by application to data from an HIV clinical trial.
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
4043-4055Subventions
Organisme : NIAID NIH HHS
ID : R21 AI176947
Pays : United States
Informations de copyright
© 2023 The Author. Statistics in Medicine published by John Wiley & Sons Ltd.
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