Professor of Medical Statistics & Statistical Learning
Department: Biostatistics and Health Informatics
Interest and Expertise: Risk prediction models, personalized medicine, missing data, generalisability of prediction models, statistical learning methods
Software: R, Stata
Description: Daniel Stahl is lead of the precision medicine and statistical learning research group in the Department of Biostatistics and Health Informatics. His main research interest is applying statistical and machine learning methods to identify predictors, mediators and moderators of treatment success and the development of robust risk prediction models.