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PubMed · 8677399

Methods for bounding the marginal survival distribution.

J J Dignam·L A Weissfeld·S J Anderson
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Abstract

For time to event data with many potential failure types, one cannot uniquely determine the distribution of time to a specific event type, or marginal survival distribution, in the case where event types are mutually exclusive. In this paper we discuss several methods for estimating functions that bound the non-identifiable marginal survival distribution in the competing risks problem. We compute and compare bounds for data simulated from two bivariate survival distributions. Results show that the methods provide a suitable estimate of the marginal survival probability when one has specified dependence correctly. Data from a large clinical trial for breast cancer illustrate the methods.

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Clinical Trials as TopicModels, StatisticalSurvival AnalysisJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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J J Dignam, L A Weissfeld, S J Anderson. 1995-09-30. Methods for bounding the marginal survival distribution.. https://doi.org/10.1002/sim.4780141805

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