Estimation of distribution function in bivariate competing risk models.
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.
Sankaran
P G
PG
Department of Statistics, Cochin University of Science and Technology, Cochin 682 022, India. sankaranpg@yahoo.com
Lawless
J F
JF
Abraham
B
B
Antony
Ansa Alphonsa
AA
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