Article ; Online: A corrected smoothed score approach for semiparametric accelerated failure time model with error-contaminated covariates.
2023 Volume 42, Issue 22, Page(s) 4043–4055
Abstract: 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 ... ...
Abstract | 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. |
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MeSH term(s) | Humans ; Computer Simulation ; Statistics as Topic |
Language | English |
Publishing date | 2023-07-13 |
Publishing country | England |
Document type | Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural |
ZDB-ID | 843037-8 |
ISSN | 1097-0258 ; 0277-6715 |
ISSN (online) | 1097-0258 |
ISSN | 0277-6715 |
DOI | 10.1002/sim.9847 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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