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B1245
Title: Quantile regression on life lost Authors:  Jong-Hyeon Jeong - University of Pittsburgh (United States) [presenting]
Abstract: The lost lifespan concerns time from occurrence of an event of interest to the current time point and has recently emerged as a new summary measure for cumulative information inherent in time-to-event data. This summary measure provides several benefits over the traditional methods, including more straightforward interpretation yet less sensitivity to heavy censoring. We propose a regression method for the quantiles of the lost lifespan distribution under right censoring. The consistency and asymptotic normality of the regression parameters are discussed. We propose a computationally efficient method for estimating the variance-covariance matrix of the regression coefficient estimates. Simulation results are presented to validate the finite sample properties of the proposed estimators and test statistics. The proposed method is illustrated with a real dataset from a breast cancer study.