Results 241 to 250 of about 212,907 (281)

Kaplan–Meier representation of competing risk estimates

Statistics & Probability Letters, 1999
zbMATH 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, 2021
AbstractThe 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, 1998
We 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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Discrepancy with respect to kaplan-meier estimator

Communications in Statistics - Simulation and Computation, 1998
As 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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About an adaptively weighted Kaplan-Meier estimate

Lifetime Data Analysis, 2009
The minimum averaged mean squared error nonparametric adaptive weights use data from m possibly different populations to infer about one population of interest. The definition of these weights is based on the properties of the empirical distribution function.
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A Note on Pooling Kaplan-Meier Estimators

Biometrics, 1993
SUMMARY 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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Strong representations of the Kaplan–Meier estimator and hazard estimator with censored widely orthant dependent data

Computational statistics (Zeitschrift), 2021
Yi Wu, Wei Yu, Xuejun Wang
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The multiple imputations based Kaplan–Meier estimator

Statistics & Probability Letters, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Projecting the standard error of the Kaplan–Meier estimator

Statistics in Medicine, 2001
AbstractClinical studies in which a major objective is to produce Kaplan–Meier estimates of survival probabilities should be designed to produce those estimates with a desired prespecified precision as measured by their standard errors. By considering the Peto and Greenwood formulae for the estimated standard error of the Kaplan–Meier estimate and ...
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Perceiving moisture damage of asphalt mixes containing RAP using survival analysis based on Kaplan-Meier estimator and Cox proportional hazards model

Construction and Building Materials, 2022
Burhan Showkat, Dharamveer Singh
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