Results 221 to 230 of about 162,486 (263)

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.
Jean-François Plante
exaly   +3 more sources

Expert Kaplan–Meier estimation

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
openaire   +2 more sources

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
openaire   +2 more sources

Reconstructing the Kaplan–Meier Estimator as an M-estimator

The American Statistician, 2021
The Kaplan–Meier (KM) estimator, which provides a nonparametric estimate of a survival function for time-to-event data, has broad applications in clinical studies, engineering, economics and many o...
Jiaqi Gu, Yiwei Fan, Guosheng Yin
openaire   +1 more source

On an exponential bound for the Kaplan–Meier estimator

Lifetime Data Analysis, 2007
We review limit theory and inequalities for the Kaplan-Meier Kaplan and Meier (J Am Stat Assoc 53:457-481, 1958) product limit estimator of a survival function on the whole line [Formula: see text] . Along the way we provide bounds for the constant in an interesting inequality due to Biotouzé et al.
openaire   +2 more sources

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 ...
openaire   +2 more sources

A Note on the Kaplan-Meier Estimator

The American Statistician, 1993
Abstract An anomalous feature of the Kaplan-Meier estimator is that certain estimated survival probabilities can be decreased when the data are perturbed in a way that improves the overall group survival. An alternative estimator based on the so-called reduced-sample method does not have this disadvantage.
openaire   +2 more sources

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
openaire   +1 more source