Quantile Regression Based on the Weighted Approach with Dependent Truncated Data

This paper discusses the estimation of parameters in quantile regression model for dependent truncated data. To account dependence between survival time and time, Archimedean copula is used to construct association. The are estimated using certain existing approaches. An inference procedure based on a weighted approach proposed, where weights set according variables interest model. finite sample performance proposed examined through simulations, method applied analyze two real datasets: transfusion-related AIDS dataset retirement community center dataset.