Abstract
In this paper a two-stage bootstrap method is proposed for nonparametric regression with right censored data. The method is applied to construct confidence intervals and bands for a conditional survival function. Its asymptotic validity is established using counting process techniques and martingale central limit theory. The performance of the bootstrap method is investigated in a Monte Carlo study. An illustration is given using a real data.
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Li, G., Datta, S. A Bootstrap Approach to Nonparametric Regression for Right Censored Data. Annals of the Institute of Statistical Mathematics 53, 708–729 (2001). https://doi.org/10.1023/A:1014644700806
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DOI: https://doi.org/10.1023/A:1014644700806