Morine Delhelle (UCLouvain)

Title : Copula based dependent censoring in cure models with covariates

Abstract : In survival data analysis, datasets with both a cure fraction (individuals who will never experience the event of interest) and dependent censoring (loss to follow-up for a reason related to the event of interest before the occurrence of that event) are not scarce, and appropriate models and methods must be considered to avoid biased estimators of the survival function or incorrect conclusions in clinical trials. Delhelle and Van Keilegom proposed a fully parametric model for the bivariate distribution of survival (T) and censoring (C) times, that takes these features into account. The model depends on a parametric copula (with an unknown association parameter) and on parametric marginal distributions for T and C. An advantage is that it allows one to estimate the strength of the dependence and the cure rate.

Authors : Morine Delhelle (Institute of Statistics, Biostatistics and Actuarial Science, UCLouvain, Belgium) and Ingrid Van Keilegom (ORSTAT, KU Leuven, Belgium)

The seminar will take place in Room S08 at the Faculty of Sciences.