An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
Journal article
Fu, Liya, Yang, Zhuoran, Zhou, Yan and Wang, You-Gan. (2021). An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data. Lifetime Data Analysis. 27(4), pp. 679-709. https://doi.org/10.1007/s10985-021-09526-4
Authors | Fu, Liya, Yang, Zhuoran, Zhou, Yan and Wang, You-Gan |
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Abstract | In medical studies, the collected covariates contain underlying outliers. For clustered/longitudinal data with censored observations, the traditional Gehan-type estimator is robust to outliers in response but sensitive to outliers in the covariate domain, and it also ignores the within-cluster correlations. To take account of within-cluster correlations, varying cluster sizes, and outliers in covariates, we propose weighted Gehan-type estimating functions for parameter estimation in the accelerated failure time model for clustered data. We provide the asymptotic properties of the resulting estimators and carry out simulation studies to evaluate the performance of the proposed method under a variety of realistic settings. The simulation results demonstrate that the proposed method is robust to the outliers existing in the covariate domain and lead to much more efficient estimators when a strong within-cluster correlation exists. Finally, the proposed method is applied to two medical datasets and more reliable and convincing results are hence obtained. |
Keywords | censored data; induced smoothing; robust |
Year | 2021 |
Journal | Lifetime Data Analysis |
Journal citation | 27 (4), pp. 679-709 |
Publisher | Springer |
ISSN | 1380-7870 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10985-021-09526-4 |
Scopus EID | 2-s2.0-85109276771 |
Page range | 679-709 |
Funder | National Natural Science Foundation of China (NSFC) |
Natural Science Foundation of Guangdong Province of China | |
Project of Educational Commission of Guangdong Province of China | |
Australian Research Council (ARC) | |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 02 Jul 2021 |
Publication process dates | |
Accepted | 05 Jun 2021 |
Deposited | 12 Dec 2022 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | 11871390 |
12071305 | |
11871411 | |
2020B1515310008 | |
2019KZDZX1007 | |
DP160104292 |
https://acuresearchbank.acu.edu.au/item/8y8vz/an-efficient-gehan-type-estimation-for-the-accelerated-failure-time-model-with-clustered-and-censored-data
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