Expressing the Kaplan-Meier estimator as a function of empirical subsurvival functions
作者： Arthur V. Peterson
DOI: 10.1080/01621459.1977.10479970
关键词: Nelson–Aalen estimator 、 Mathematics 、 Statistics 、 Minimum-variance unbiased estimator 、 Estimator 、 Stein's unbiased risk estimate 、 Invariant estimator 、 Efficient estimator 、 Applied mathematics 、 Bayes estimator 、 Kaplan–Meier estimator
摘要: Abstract The Kaplan-Meier estimator for the survival function in censored data problem can be expressed finite samples as an explicit of two empirical subsurvival functions. This is natural one that expresses terms sub-survival As illustration usefulness expressing this way, strong consistency easily proved.
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