Estimation of a survival curve with randomly censored data in the presence of a covariate |
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Authors: | Uwe Jensen Jürgen Wiedmann |
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Affiliation: | (1) Department of Stochastics, University of Ulm, 89081 Ulm, Germany (e-mail: jensen@mathematik.uni-ulm.de, wiedmann@mathematik.uni-ulm.de), DE |
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Abstract: | This paper deals with the estimation of a survival curve in models with random right censoring and dependent censoring mechanism. We consider a specific dependent censorship model in which conditional on a covariate, the survival and censoring times are assumed to be independent. We investigate asymptotic properties of a corrected version of a survival curve estimator introduced by Cheng (1989). In particular we show uniform strong consistency and weak convergence to a Gaussian process. Comparisons of this estimator with the well-known Kaplan-Meier-estimator are included. Finally, some examples illustrate how the estimator performs. Received: February 2000 |
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Keywords: | : Nonparametric survival curve estimator informative random censoring Kaplan-Meier-estimator conditional independence model |
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