
pmid: 20394082
AbstractQuantile 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.
Reliability and life testing, Biometry, Linear regression; mixed models, Censored data models, Computational problems in statistics, Estimation in survival analysis and censored data, Breast Neoplasms, Censuses, robustness, Survival Analysis, Survival Rate, Data Interpretation, Statistical, Confidence Intervals, Humans, Female, Nonparametric regression and quantile regression, bootstrap, missing information principle, Monte Carlo Method, Proportional Hazards Models
Reliability and life testing, Biometry, Linear regression; mixed models, Censored data models, Computational problems in statistics, Estimation in survival analysis and censored data, Breast Neoplasms, Censuses, robustness, Survival Analysis, Survival Rate, Data Interpretation, Statistical, Confidence Intervals, Humans, Female, Nonparametric regression and quantile regression, bootstrap, missing information principle, Monte Carlo Method, Proportional Hazards Models
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