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Extended generalized Marshall–Olkin model for dependent censoring

Salima Helali

Scandinavian Journal of Statistics2026https://doi.org/10.1111/sjos.70053article
AJG 3
Weight
0.50

What the paper says

In this paper, we consider dependent competing risks using the Extended Marshall–Olkin model, where observation times are subject to censoring. The probabilistic properties of the survival copula associated with this model are examined, along with its application to the analysis of censored data. An estimation strategy using Bernstein polynomials for marginal distributions and joint survival probabilities is developed. The asymptotic normality of the proposed estimators is established under appropriate regularity conditions. The effectiveness of the proposed methodology is assessed through a simulation study using synthetic datasets and further validated with an application to real‐world data.

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https://doi.org/https://doi.org/10.1111/sjos.70053

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@article{salima2026,
  title        = {{Extended generalized Marshall–Olkin model for dependent censoring}},
  author       = {Salima Helali},
  journal      = {Scandinavian Journal of Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/sjos.70053},
}

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Extended generalized Marshall–Olkin model for dependent censoring

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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