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Association between the number of comorbidities and all-cause mortality during the COVID-19 pandemic: A Danish nationwide, retrospective cohort study. [PDF]
Zarulli V, Strozza C, Rizzi S.
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Impact of Donor Cirrhosis Outcome Risk Estimator (CORE) Score on Recipient Outcomes Following Living-donor Liver Transplantation. [PDF]
Takagi K +7 more
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A Berry-Essen Inequality for the Kaplan-Meier L-Estimator
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, QH, Zhu, LX
exaly +7 more sources
The multiple imputations based Kaplan–Meier estimator
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Subramanian, Sundarraman
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A SIMPLE IMPROVEMENT OF THE KAPLAN-MEIER ESTIMATOR
Communications in Statistics - Theory and Methods, 2002ABSTRACT Though widely used, the celebrated Kaplan-Meier estimator suffers from a disadvantage: it may happen, and in small and moderate samples it often does, that even if the difference between two consecutive times t 1 and t 2 ( ) is considerably large, for the values of the Kaplan-Meier estima-tor KM(t 1) and KM(t 2) we may have KM .
Agnieszka Rossa, Ryszard Zielinski
exaly +2 more sources
Expert Kaplan–Meier estimation
Scandinavian Actuarial Journal, 2023The setting of a right-censored random sample subject to contamination is considered. In various fields, expert information is often available and used to overcome the contamination. This paper integrates expert knowledge into the product-limit estimator in two different ways with distinct interpretations.
Martin Bladt, Christian Furrer
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The Jackknife Estimate of a Kaplan-Meier Integral
Biometrika, 1994Summary: We derive an explicit formula for the jackknife estimate of a Kaplan- Meier integral. From this the asymptotic analysis of the jackknifed Kaplan-Meier process becomes straightforward. In a small simulation study it is demonstrated that jackknifing may lead to a considerable reduction of the bias.
Stute, Winfried, Wang, Jane-Ling
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Reconstructing the Kaplan–Meier Estimator as an M-estimator
The American Statistician, 2021The Kaplan–Meier (KM) estimator, which provides a nonparametric estimate of a survival function for time-to-event data, has broad applications in clinical studies, engineering, economics and many o...
Jiaqi Gu, Yiwei Fan, Guosheng Yin
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