Estimating the survival functions in a censored semi-competing risks model

Estimating the survival functions in a censored semi-competing risks model

Rivest & Wells (2001) proposed estimators of the marginal survival functions in a right-censored model that assumes an Archimedean copula between the survival time and the censoring time. We study the extension of these estimators to the context of rightcensored semi-competing risks data with an independent second level censoring time. We intensively use martingale techniques to derive their la...

Parametric Estimation in a Recurrent Competing Risks Model

A resource-efficient approach to making inferences about the distributional properties of the failure times in a competing risks setting is presented. Efficiency is gained by observing recurrences of the compet- ing risks over a random monitoring period. The resulting model is called the recurrent competing risks model (RCRM) and is coupled with two repair strategies whenever the system fails. ...

INFERENCE ON CENSORED SURVIVAL DATA UNDER COMPETING RISKS by

The role of survival functions in competing risks

Competing risks data usually arises in studies in which the failure of an individual may be classified into one of k (k > 1) mutually exclusive causes of failure. When competing risks are present, there are two main differences with classical survival analysis: (i) survival functions are not mainly used to describe cause-specific failures and, (ii) classical estimation techniques may provide bi...

Survival Analysis and Regression Models in the Presence of Competing and Semi-competing Risks