Estimation of distribution function in bivariate competing risk models.

P G Sankaran; J F Lawless; B Abraham; Ansa Alphonsa Antony

doi:10.1002/bimj.200510173

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Estimation of distribution function in bivariate competing risk models.

P G Sankaran·J F Lawless·B Abraham·Ansa Alphonsa Antony

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Abstract

We consider lifetime data involving pairs of study individuals with more than one possible cause of failure for each individual. Non-parametric estimation of cause-specific distribution functions is considered under independent censoring. Properties of the estimators are discussed and an illustration of their application is given.

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Biometry Causality Comorbidity Computer Simulation Data Interpretation, Statistical Epidemiology Models, Statistical Risk Assessment Statistical Distributions Survival Analysis Survival Rate Journal Article Research Support, Non-U.S. Gov't

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P G Sankaran, J F Lawless, B Abraham, Ansa Alphonsa Antony. 2006. Estimation of distribution function in bivariate competing risk models.. https://doi.org/10.1002/bimj.200510173

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