Geodesic
Extension of relative-risk power estimator under dependent random censored data
Contemporary Mathematics. Fundamental Directions, Science — Technology — Education — Mathematics — Medicine, Tome 68 (2022) no. 1, pp. 1-13

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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. 
@article{CMFD_2022_68_1_a0,
     author = {A. A. Abdushukurov},
     title = {Extension of relative-risk power estimator under dependent random censored data},
     journal = {Contemporary Mathematics. Fundamental Directions},
     pages = {1--13},
     publisher = {mathdoc},
     volume = {68},
     number = {1},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/CMFD_2022_68_1_a0/}
}
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A. A. Abdushukurov. Extension of relative-risk power estimator under dependent random censored data. Contemporary Mathematics. Fundamental Directions, Science — Technology — Education — Mathematics — Medicine, Tome 68 (2022) no. 1, pp. 1-13. http://geodesic.mathdoc.fr/item/CMFD_2022_68_1_a0/