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Robust unbiased transformations with censoring
Working paper   Open access

Robust unbiased transformations with censoring

Damien Bousquet

Abstract

asymptotic normality bias censoring robustness U statistic variance
In the literature, there have been several papers about unbiased estimation in presence of censoring. In this work, we generalise the doubly robust unbiased transformation with censoring proposed by Rubin and Van der Laan and Suzukawa. We show it is the uniformly minimum variance unbiased transformation with censoring. The new more general transformation we obtain is also doubly robust and asymptotically normal.
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