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Median Regression Model with Interval Censored Data

Authors
Kim, Yang-J.Cho, HyungJunKim, JinheumJhun, Myoungshic
Issue Date
4월-2010
Publisher
WILEY
Keywords
Bootstrap; Interval censoring; Median regression; Missing information principle; Robustness
Citation
BIOMETRICAL JOURNAL, v.52, no.2, pp.201 - 208
Indexed
SCIE
SCOPUS
Journal Title
BIOMETRICAL JOURNAL
Volume
52
Number
2
Start Page
201
End Page
208
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/116704
DOI
10.1002/bimj.200900111
ISSN
0323-3847
Abstract
Quantile regression methods have been used to estimate upper and lower quantile reference curves as the function of several covariates. Especially, in survival analysis, median regression models to the right-censored data are suggested with several assumptions. In this article, we consider a median regression model for interval-censored data and construct an estimating equation based on weights derived from interval-censored data. In a simulation study, the performances of the proposed method are evaluated for both symmetric and right-skewed distributed failure times. A well-known breast cancer data are analyzed to illustrate the proposed method.
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정경대학 (통계학과)
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