Topics: Advanced survival modelling, quality of life
Birgit Lissenberg-Witte studied Mathematics with a major in Statistics at the VU University Amsterdam and obtained her PhD degree in Mathematical Statistics at the Delft University of Technology. During her PhD research, she developed nonparametric methods to estimate the cumulative incidence of asymptomatic diseases, in particular the incidence of viral infections (HIV and Hepatitis A), and focussed on mathematical properties of these estimation methods. Her current research aims at more applied methodology in health science. She developed algorithms for more accurate estimation of cumulative incidence by correcting for misclassification of events due to limited accuracy of screening tests as well as for estimation of attributable fraction in case of masked, competing events. She has a special interest in advanced survival modelling, like competing risks and time-varying covariates, and longitudinal quality of life modelling. Furthermore, she is involved in clinical (decision) research as a statistical consultant. Birgit teaches in the area of statistical methodology.