Efficient and Ad Hoc Estimation in the Bivariate Censoring Model

Mark J. van der Laan
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Mark J. van der Laan: University of California, Division of Biostatistics School of Public Health

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 339-346 from Springer

Abstract: Abstract A large number of proposals for estimating the bivariate survival function under random censoring has been made. In this paper we discuss nonparametric maximum likelihood estimation and the bivariate Kaplan-Meier estimator of Dabrowska. We show how these estimators are computed, present their intuitive background and compare their practical performance under different levels of dependence and censoring, based on extensive simulation results, which leads to a practical advise.

Keywords: Practical Performance; Interval Censoring; Lattice Partition; Random Censoring; Extensive Simulation Result (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-5654-8_44

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DOI: 10.1007/978-1-4757-5654-8_44

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