Median regression model with interval censored data.
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.
Kim
Yang-J
YJ
Department of Statistics, Sookmyung Women' University, Seoul 140-7421, Korea.
Cho
Hyungjun
H
Kim
Jinheum
J
Jhun
Myoungshic
M
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