Median Regression Model with Interval Censored Data

Citations

WEB OF SCIENCE

15
Citations

SCOPUS

15

초록

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.

키워드

BootstrapInterval censoringMedian regressionMissing information principleRobustnessFAILURE TIME DATAQUANTILE REGRESSIONSURVIVAL ANALYSIS
제목
Median Regression Model with Interval Censored Data
저자
Kim, Yang-J.Cho, HyungJunKim, JinheumJhun, Myoungshic
DOI
10.1002/bimj.200900111
발행일
2010-04
유형
Article
저널명
Biometrical Journal
52
2
페이지
201 ~ 208