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DTSTART;TZID=Europe/Brussels:20240229T130000
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DTSTAMP:20260502T171432
CREATED:20231115T130540Z
LAST-MODIFIED:20240223T080934Z
UID:2060-1709211600-1709215200@www.naxys.be
SUMMARY:Morine Delhelle (UCLouvain)
DESCRIPTION:Title : Copula based dependent censoring in cure models with covariates \nAbstract : 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. \n\n\n\nThis talk presents an improvement of this model. Administrative censoring is considered separately from dependent censoring\, and covariates are included in the model. \n\n\n\nAuthors : Morine Delhelle (Institute of Statistics\, Biostatistics and Actuarial Science\, UCLouvain\, Belgium) and Ingrid Van Keilegom (ORSTAT\, KU Leuven\, Belgium) \nThe seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/morine-delhelle-uclouvain/
CATEGORIES:NAXYS Seminar
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