Redistribution algorithms for censored data

Rebecca A. Betensky

Statistics & Probability Letters, 2000, vol. 46, issue 4, 385-389

Abstract: Efron (Proceedings of the Fifth Berkeley Symposium, Vol. 4, University of California Press, Berkeley, CA, pp. 831-853) and Dinse (Amer. Statist. 39, 1985, 299-300) proposed redistribution of mass algorithms for survivor function estimation from right censored data. Dinse's algorithm is easily extended to survivor function estimation from interval censored data and is further extended to incorporate information on disease markers.

Keywords: Kaplan-Meier; estimator; Nonparametric; maximum; likelihood; estimator; Self-consistent; estimator; Survivor; function (search for similar items in EconPapers)
Date: 2000
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