Premium
Median Regression Model with Interval Censored Data
Author(s) -
Kim YangJ.,
Cho HyungJun,
Kim Jinheum,
Jhun Myoungshic
Publication year - 2010
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200900111
Subject(s) - statistics , covariate , quantile regression , mathematics , regression analysis , quantile , regression , interval (graph theory) , confidence interval , econometrics , combinatorics
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.