3 papers
stat.ME2017
Dependence modeling for recurrent event times subject to right-censoring with D-vine copulas
Nicole Barthel, Candida Geerdens, Claudia Czado +1
In many time-to-event studies, the event of interest is recurrent. Here, the data for each sample unit corresponds to a series of gap times between the subsequent events. Given a l…
stat.ME2016
Conditional Copula Models for Right-Censored Clustered Event Time Data
Candida Geerdens, Elif Fidan Acar, Paul Janssen
This paper proposes a modelling strategy to infer the impact of a covariate on the dependence structure of right-censored clustered event time data. The joint survival function of…
stat.AP2016
Vine copula based likelihood estimation of dependence patterns in multivariate event time data
Nicole Barthel, Candida Geerdens, Matthias Killiches +2
In many studies multivariate event time data are generated from clusters having a possibly complex association pattern. Flexible models are needed to capture this dependence. Vine…