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Random clouds and an application to censoring in survival analysis

Authors
Disciplines
  • Mathematics

Abstract

The theory of optional stopping is extended from stopping sets to general adapted random sets called 'clouds' and 'anti-clouds', and a stopping theorem is proven for set-indexed martingales. An application to set-indexed survival analysis is given when the data points are indexed by sets and censored very generally by clouds. This type of censoring corresponds to filtering of survival data on R+. A Nelson-Aalen estimator is defined, and shown to be consistent and asymptotically unbiased.

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