Parametric likelihood inference for interval censored competing risks data

Analysis of Partly Interval-Censored Data under Competing Risks Framework

INFERENCE ON CENSORED SURVIVAL DATA UNDER COMPETING RISKS by

Likelihood-Based Inference for Semi-Competing Risks

Consider semi-competing risks data (two times to concurrent events are studied but only one of them is right-censored by the other one) where the link between the times Y and C to non-terminal and terminal events respectively, is modeled by a family of Archimedean copulas. Moreover, both Y and C are submitted to an independent right censoring variable D. A new methodology based on a maximum lik...

Hierarchical likelihood inference on clustered competing risks data.

The frailty model, an extension of the proportional hazards model, is often used to model clustered survival data. However, some extension of the ordinary frailty model is required when there exist competing risks within a cluster. Under competing risks, the underlying processes affecting the events of interest and competing events could be different but correlated. In this paper, the hierarchi...

Exploring the Method for Analyzing Interval Censored Data Using Imputation in Competing Risks Model

We consider the problem of analyzing interval censored data comparing cumulative incidence functions by demographic variables in the presence of competing risks. In this paper, we explore two methods based on imputation, the EM-type method and Multiple Imputation. Basically, we imputed the exact event time for interval censored data and take advantage of standard estimation methods for right ce...