Results 281 to 290 of about 18,301 (299)

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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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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A Bias-Corrected Kaplan-Meier Estimator

2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), 2020
The Kaplan-Meier estimator (KME) is a classical non-parametric reliability estimator for incomplete data; and it underestimates the reliability. Few estimators have been developed to correct its bias. This paper aims to fill this gap by proposing a bias-corrected estimator.
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On the limit points of the Kaplan-Meier estimator

Acta Mathematica Sinica, 1990
The limit points of the product limit estimator given by \textit{E. L. Kaplan} and \textit{P. Meier} [J. Am. Stat. Assoc. 53, 457-481 (1958; Zbl 0089.148)] are discussed. The author uses the method of strong approximation to get the unit ball of the reproducing kernel Hilbert space.
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Efficiency Loss with the Kaplan-Meier Estimator.

1985
Abstract : We consider the proportional hazards model where the distribution G of the censoring random variable is related to the distribution F of the lifetime random variable via (1 - G)=(1 - F) to the beta power. Nonparametric estimators of F are developed for the case where beta is unknown and the case where beta is known.
James Sconing, Frank Proschan, Myles Hollander   +2 more
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-deficiency of the Kaplan–Meier estimator

Statistics & Probability Letters, 2003
Mohamed Lemdani, Elias Ould-Saı̈d
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Sample size calculations for single‐arm survival studies using transformations of the Kaplan–Meier estimator

Pharmaceutical Statistics, 2021
Kengo Nagashima, Hisashi Noma
exaly  

Kaplan–Meier Statistics to Estimate Treatment Success

Journal of Neuro-Ophthalmology, 2022
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Kaplan–Meier Estimator

2003
Hongyu Jiang, Jason Fine
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