Results 231 to 240 of about 913,429 (284)
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Transfusion, 2020
I t is useful to know how long someone will live or something will last. The probability that a specific subject will survive beyond any specified time is equivalent to the fraction of a group of similar subjects studied who do survive beyond that time ...
A. Hess, J. Hess
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I t is useful to know how long someone will live or something will last. The probability that a specific subject will survive beyond any specified time is equivalent to the fraction of a group of similar subjects studied who do survive beyond that time ...
A. Hess, J. Hess
semanticscholar +3 more sources
Journal of the American Statistical Association, 2004
Miller has studied the asymptotic efficiency of the nonparametric, Kaplan–Meier survival estimator relative to parametric estimates based on the exponential and Weibull distributions. He concluded that in certain cases, the asymptotic efficiency is low and recommended that analysts give more consideration to parametric estimators, particularly for ...
Hui Xie, Rick Chappell
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Miller has studied the asymptotic efficiency of the nonparametric, Kaplan–Meier survival estimator relative to parametric estimates based on the exponential and Weibull distributions. He concluded that in certain cases, the asymptotic efficiency is low and recommended that analysts give more consideration to parametric estimators, particularly for ...
Hui Xie, Rick Chappell
exaly +4 more sources
Inappropriate censoring in Kaplan-Meier analyses.
The Lancet Oncology, 2021T. Fojo, R. Simon
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Time Analysis of Recidivism in Acquired Cholesteatoma Using the Kaplan-Meier Method
Otology and Neurotology, 2023Objective To analyze the time trends of recidivism of acquired cholesteatoma using the Kaplan-Meier method. Study Design We conducted a retrospective, observational study of 256 patients having their first cholesteatoma surgery. The cumulative recidivism-
T. Nakazawa +9 more
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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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Biometrics, 1983
The asymptotic efficiency of the Kaplan-Meier product-limit estimator, relative to the maximum likelihood estimator of a parametric survival function, is examined under a random-censoring model.
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The asymptotic efficiency of the Kaplan-Meier product-limit estimator, relative to the maximum likelihood estimator of a parametric survival function, is examined under a random-censoring model.
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Operational Research
Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to optimize.
Chengyi Lyu, Huanan Zhang, Linwei Xin
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Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to optimize.
Chengyi Lyu, Huanan Zhang, Linwei Xin
semanticscholar +1 more source