Generalized accelerated failure time model with censored data from case-cohort studies. (English) Zbl 1502.62102
Summary: The case-cohort design is a cost-effective approach commonly used in large cohort studies. Under this design, covariates are collected only for the cases and a small subcohort randomly selected from the entire cohort. In this paper, we consider a flexible generalized accelerated failure time model for fitting case-cohort data. A weighted estimating procedure is proposed and the corresponding asymptotic properties of the resulting estimator are established. Two efficient resampling-based inference procedures which do not involve nonparametric density estimation or numerical derivatives are suggested. The finite sample performance of the proposed estimators is evaluated by simulation studies. Also, a real example is used to demonstrate the application of the proposed methods.
MSC:
| 62P10 | Applications of statistics to biology and medical sciences; meta analysis |
| 62N02 | Estimation in survival analysis and censored data |
| 62G05 | Nonparametric estimation |
| 62G20 | Asymptotic properties of nonparametric inference |
| 62-08 | Computational methods for problems pertaining to statistics |
Keywords:
case-cohort design; generalized accelerated failure time model; survival data; weighted objective functionReferences:
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