Thomas ScheikeView profile
Professor
Thomas Scheike is a Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen. He holds a Dr. Scient degree from 2002 and a PhD from 1993, with an ORCID identifier of 0000-0002-2148-4740. His research expertise includes: Survival analyses and time-to-event data methodology Statistical genetics applied to twin and family studies Competing risks data analysis Dependence structures in multivariate event history data Professor Scheike has developed significant statistical software for R, including the Timereg package for survival analysis and the Mets package for multivariate polygenetic modeling. He teaches courses primarily for medical PhD students in survival analysis, statistical software applications, medical statistics, and methods for twin and family studies, as well as specialized courses for statistics PhD students. His recent publications (2025) demonstrate the broad application of his biostatistical methods across cardiology, psychiatry, gastroenterology, neurology, and environmental health fields. These works often involve large-scale cohort studies and twin research designs, showcasing his methodological innovations in analyzing complex longitudinal data. Professor Scheike maintains an active research profile with substantial contributions to biostatistical methodology, particularly in the analysis of survival data with applications across diverse medical disciplines.