Results 231 to 240 of about 162,486 (263)
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Counter-intuitive properties of the Kaplan–Meier estimator
Statistics & Probability Letters, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nishikawa, Masako, Tango, Toshiro
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Kaplan–Meier representation of competing risk estimates
Statistics & Probability Letters, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Satten, Glen A., Datta, Somnath
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Two bias‐corrected Kaplan‐Meier estimators
Quality and Reliability Engineering International, 2021AbstractThe Kaplan‐Meier estimator (KME) is a classical nonparametric reliability estimator for incomplete data. Although it has been widely used, its two drawbacks have not been addressed well in the literature: (a) as a staircase function, it actually has two reliability estimates for each failure observation, and (b) it is biased. This paper aims to
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An extended Kaplan-Meier estimator and its applications
Statistics in Medicine, 1998We develop an extension of the Kaplan-Meier estimator for the case of multiple live states. The method can be used to construct prognostic charts for tracking individuals initially in a given condition. It is also the key component in constructing a longitudinal version of the multistate life table.
D, Strauss, R, Shavelle
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Alternatives to the Kaplan–Meier estimator of progression-free survival
The International Journal of Biostatistics, 2020Abstract Progression-free survival (PFS), defined as the time from randomization to progression of disease or death, has been indicated as an endpoint to support accelerated approval of certain cancer drugs by the U.S. FDA. The standard Kaplan–Meier (KM) estimator of PFS, however, can result in significantly biased estimates.
Zhang, Jenny J. +3 more
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A Berry-Essen Inequality for the Kaplan-Meier L-Estimator
Acta Mathematica Sinica, English Series, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, QH, Zhu, LX
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Discrepancy with respect to kaplan-meier estimator
Communications in Statistics - Simulation and Computation, 1998As first step of applying the Number-theoretic method to Survival Analysis, we suggest the discrepancy associated with Kaplan-Meier estimator. The convergence rate is still O(n-1:) in some sense. Further studies are given and the simulation results are reported.
Kai-Tai Fang, Zukang Zheng, Wenliang Lu
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A Note on Pooling Kaplan-Meier Estimators
Biometrics, 1993SUMMARY Suppose we have several independent samples of censored data, with possibly different censoring patterns for each sample but a common lifetime distribution. Here we examine the problem of how to efficiently combine the information from all the samples to form an estimator of the common survival function.
Cidambi Srinivasan, Mai Zhou
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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 Zieliński
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The multiple imputations based Kaplan–Meier estimator
Statistics & Probability Letters, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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