Extension of Relative-Risk Power Estimator under Dependent Random Censored Data
- Authors: Abdushukurov A.A.1
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Affiliations:
- Lomonosov Moscow State University
- Issue: Vol 68, No 1 (2022): Science — Technology — Education — Mathematics — Medicine
- Pages: 1-13
- Section: Articles
- URL: https://journals.rudn.ru/CMFD/article/view/30847
- DOI: https://doi.org/10.22363/2413-3639-2022-68-1-1-13
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Abstract
In this paper, the considered problem consists in estimation of conditional survival function by right random censoring model in the presence of a covariate. We propose a new estimator of conditional survival function which is extension of relative-risk power estimator of independent censoring and study its large sample properties. We present result of asymptotic normality with the same limiting Gaussian process as for copula-graphic estimator.
About the authors
A. A. Abdushukurov
Lomonosov Moscow State University
Author for correspondence.
Email: a_abdushukurov@rambler.ru
Tashkent, Uzbekistan
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