We consider a variation of th ecompeting risks problem in which a terminal event censors a non-terminal event, but not vice versa. An estimator for the association parameter is obtained by extending Oakes' concordance estimating equation. Two methods of estimation for the marginal distributions will be presented.
Simulations demonstrate that the methods work well with practical sample sizes.
An application to data on morbidity and mortality in leukemia patients will illustrate the proposals.