Research Article
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Kaplan-Meier estimator in competing risk contexts

Year 2016, Volume: 45 Issue: 4, 1161 - 1173, 01.08.2016

Abstract

Survival analysis has become in a common procedure in biomedical re-
searches. Conventionally, the well-known nonparametric Kaplan-Meier
(KM) estimator is used in order to approximate the real survivor curve.
However, in competing risk contexts where more than one failure cause
compete to occur and only one of them is of interest, the direct use
of the Kaplan-Meier statistic does not perform correctly and, in or-
der to obtain a good estimation, it must be adapted. In this work,
via Monte Carlo simulations, the author explores the behavior of the
Kaplan-Meier estimator in a competing risk context. In addition, dif-
ferences between KM and multiple decrement methods are pointed out.
Finally, a real-data problem is used in order to illustrate the situation.

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Year 2016, Volume: 45 Issue: 4, 1161 - 1173, 01.08.2016

Abstract

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There are 2 citations in total.

Details

Primary Language English
Subjects Statistics
Journal Section Statistics
Authors

Pablo Martínez Camblor This is me

Publication Date August 1, 2016
Published in Issue Year 2016 Volume: 45 Issue: 4

Cite

APA Camblor, P. M. (2016). Kaplan-Meier estimator in competing risk contexts. Hacettepe Journal of Mathematics and Statistics, 45(4), 1161-1173.
AMA Camblor PM. Kaplan-Meier estimator in competing risk contexts. Hacettepe Journal of Mathematics and Statistics. August 2016;45(4):1161-1173.
Chicago Camblor, Pablo Martínez. “Kaplan-Meier Estimator in Competing Risk Contexts”. Hacettepe Journal of Mathematics and Statistics 45, no. 4 (August 2016): 1161-73.
EndNote Camblor PM (August 1, 2016) Kaplan-Meier estimator in competing risk contexts. Hacettepe Journal of Mathematics and Statistics 45 4 1161–1173.
IEEE P. M. Camblor, “Kaplan-Meier estimator in competing risk contexts”, Hacettepe Journal of Mathematics and Statistics, vol. 45, no. 4, pp. 1161–1173, 2016.
ISNAD Camblor, Pablo Martínez. “Kaplan-Meier Estimator in Competing Risk Contexts”. Hacettepe Journal of Mathematics and Statistics 45/4 (August 2016), 1161-1173.
JAMA Camblor PM. Kaplan-Meier estimator in competing risk contexts. Hacettepe Journal of Mathematics and Statistics. 2016;45:1161–1173.
MLA Camblor, Pablo Martínez. “Kaplan-Meier Estimator in Competing Risk Contexts”. Hacettepe Journal of Mathematics and Statistics, vol. 45, no. 4, 2016, pp. 1161-73.
Vancouver Camblor PM. Kaplan-Meier estimator in competing risk contexts. Hacettepe Journal of Mathematics and Statistics. 2016;45(4):1161-73.