I am a psychologist whose interests include epidemiology, methodology, statistics, and data science.
PhD Candidate in Epidemiology (2019-2027), 2027
Rheinische Friedrich-Wilhelms-Universität Bonn, Faculty of Medicine, Germany
MSc in Psychology (With Honours), 2004
Universiteit van Amsterdam (UvA), The Netherlands
Diplôme de Sciences Criminelles, 1997
Université de Pau et des Pays de l'Adour, Pau, France
Analysis of temporal coordination patterns in airline schedule data
Global visualization of health burden data (shsburden.net)
Mileage Run Planning Tool (routingruler.com)
Lectures in Psychology degree programme (B.Sc.):
Development of R Shiny app for visualization of Serious Health Related Suffering (SHS):
Coordination of project “E-Surv” (Funding: German Cancer Aid):
Graduate programme “Epidemiological Research Using Cancer Registry Data” (German Cancer Aid):
Developed R Shiny apps:
Programming
Statistics & Data Science
Documentation & Reporting
Cloud & Deployment
Additional Tools

Purpose The available questionnaires for quality-of-life (QoL) assessments are age-group specific, limiting comparability and impeding longitudinal analyses. The comparability of measurements, however, is a necessary condition for gaining scientific evidence. To overcome this problem, we assessed the viability of harmonising data from paediatric and adult patient-reported outcome (PRO) measures. Method To this end, we linked physical functioning scores from the Paediatric Quality of Life Inventory (PedsQL) and the Paediatric Quality of Life Questionnaire (PEDQOL) to the European Organisation for Research and Treatment of Cancer Core Questionnaire (EORTC QLQ-C30) for adults. Samples from the EURAMOS-1 QoL sub-study of 75 (PedsQL) and 112 (PEDQOL) adolescent osteosarcoma patients were concurrently administered both paediatric and adult questionnaires on 98 (PedsQL) and 156 (PEDQOL) occasions. We identified corresponding scores using the single-group equipercentile linking method. Results Linked physical functioning scores showed sufficient concordance to the EORTC QLQ-C30: Lin’s ρ = 0.74 (PedsQL) and Lin’s ρ = 0.64 (PEDQOL). Conclusion Score linking provides clinicians and researchers with a common metric for assessing QoL with PRO measures across the entire lifespan of patients.