title: Median regression model with interval censored data.
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.
authors.affiliation: Department of Statistics, Sookmyung Women' University, Seoul 140-7421, Korea.
authors.forename: Yang-J
authors.initials: YJ
authors.lastname: Kim
authors.forename: Hyungjun
authors.initials: H
authors.lastname: Cho
authors.forename: Jinheum
authors.initials: J
authors.lastname: Kim
authors.forename: Myoungshic
authors.initials: M
authors.lastname: Jhun
mesh_terms: D001699:Biometry / Q000379:methods*; D001943:Breast Neoplasms / Q000473:pathology*; D019352:Censuses; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D009010:Monte Carlo Method; D016016:Proportional Hazards Models; D016019:Survival Analysis; D015996:Survival Rate