Frailty modelling for multivariate current status data with applications in epidemiology

Current status data are interval-censored time-to-event data and arise, for example, in infectious disease epidemiology, when blood serum residues are tested for the presence of antibodies to one or more infections. Frailty Models are random / mixed-effects models for time-to-event data that can be used to quantify the heterogeneity between individuals with respect to factors that are relevant for the transmission of infectious diseases. The aims of the project are to develop new statistical methods for the analysis of multivariate current status data and to evaluate the new methods using both simulated and real data.

This project is funded by the DFG (German Research Foundation).