title: Estimation of distribution function in bivariate competing risk models.
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.
authors.affiliation: Department of Statistics, Cochin University of Science and Technology, Cochin 682 022, India. sankaranpg@yahoo.com
authors.forename: P G
authors.initials: PG
authors.lastname: Sankaran
authors.forename: J F
authors.initials: JF
authors.lastname: Lawless
authors.forename: B
authors.initials: B
authors.lastname: Abraham
authors.forename: Ansa Alphonsa
authors.initials: AA
authors.lastname: Antony
mesh_terms: D001699:Biometry / Q000379:methods*; D015984:Causality; D015897:Comorbidity; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004813:Epidemiology; D015233:Models, Statistical; D018570:Risk Assessment / Q000379:methods*; D016008:Statistical Distributions; D016019:Survival Analysis; D015996:Survival Rate