Email this article Semiparametric Estimation of Distribution Function in the Informative Model of Competing Risks
- Authors: Abdushukurov A.A.1, Makhmudova D.1
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Affiliations:
- National University of Uzbekistan named after Mirzo Ulugbek
- Issue: Vol 227, No 2 (2017)
- Pages: 117-123
- Section: Article
- URL: https://bakhtiniada.ru/1072-3374/article/view/240101
- DOI: https://doi.org/10.1007/s10958-017-3578-y
- ID: 240101
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Abstract
In this paper we consider an informative model of competing risks. We offer a new power estimate for the distribution function and prove its asymptotic equivalence to the previously known estimates and its efficiency compared to the well-known multiplicative Kaplan–Meier estimate.
About the authors
A. A. Abdushukurov
National University of Uzbekistan named after Mirzo Ulugbek
Author for correspondence.
Email: a_abdushukurov@rambler.ru
Uzbekistan, Tashkent
D. Makhmudova
National University of Uzbekistan named after Mirzo Ulugbek
Email: a_abdushukurov@rambler.ru
Uzbekistan, Tashkent
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