Results 171 to 180 of about 32,632 (220)

Favourable mid- to long-term clinical and functional outcomes and low redislocation rates following derotational distal femoral osteotomy for the treatment of recurrent patellofemoral instability. [PDF]

J Exp Orthop
Rab P, Achtnich A, Hinz M, Imhoff FB, Herbst E, Grüning L, Brunner M, Siebenlist S, Vieider RP.   +8 more
europepmc   +1 more source

A Machine Learning Framework for Cancer Prognostics: Integrating Temporal and Immune Gene Dynamics via ARIMA-CNN. [PDF]

Biomedicines
Lin RB, Zhou L, Lin YC, Yu Y, Yang HC, Yu CW.   +5 more
europepmc   +1 more source

Expert Kaplan–Meier estimation [PDF]

Scandinavian Actuarial Journal, 2023
The 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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Bootstrapping the Kaplan-Meier Estimator

Journal of the American Statistical Association, 1986
Abstract Randomly censored data consist of iid pairs of observations (Xi, δi), i = 1, …, n; if δ i = 0, Xi denotes a censored observation, and if δ i = 1, Xi denotes an exact “survival” time, which is the variable of interest. For estimating the distribution F of the survival times, the product-limit estimator proposed by Kaplan and Meier (1958) has ...
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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
openaire   +1 more source

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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The Jackknife Estimate of a Kaplan-Meier Integral

Biometrika, 1994
Summary: 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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Revisit Kaplan–Meier Estimator in Estimating QAL Survival Distributions

Journal of Statistical Theory and Practice, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, J., Li, Y.
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Extensions of the kaplan-meier estimator

Communications in Statistics - Simulation and Computation, 1995
The Kaplan–Meier estimation (KME) (1958) is a popular nonparametric method in analyzing the survival data. Efron (1967) proposes a re-distribution-to-the-right algorithm for right censored data, which can also be re-distributed from right to left by a method of Dinse (1985).
Wei-Ting Kary Chien, Way Kuo
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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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