Non-parametric quantile estimate for length-biased and right-censored data with competing risks |
| |
Authors: | Feipeng Zhang |
| |
Affiliation: | College of Mathematics and Computer Science, Hunan Normal University, Changsha, China |
| |
Abstract: | In this article, we propose a non-parametric quantile inference procedure for cause-specific failure probabilities to estimate the lifetime distribution of length-biased and right-censored data with competing risks. We also derive the asymptotic properties of the proposed estimators of the quantile function. Furthermore, the results are used to construct confidence intervals and bands for the quantile function. Simulation studies are conducted to illustrate the method and theory, and an application to an unemployment data is presented. |
| |
Keywords: | Competing risks Cumulative incidence function Length-biased and right-censored data Quantile. |
|
|