2004
DOI: 10.1002/0470090456.ch22
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Using EM and Data Augmentation for the Competing Risks Model

Abstract: We consider a survival analysis problem in which items are subject to failure from competing risks. For some of the items, the failure cause is known only to belong to a subset of the set of all possible causes, while for the remaining items the cause of death is known precisely. In this chapter we investigate two complementary analyses based on models in which the hazard rates are assumed piecewise constant. The approaches proposed rely on the EM algorithm and its Bayesian counterpart, the data augmentation (… Show more

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Cited by 5 publications
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