Department: Biostatistics and Health Informatics
Homepage: https://kclpure.kcl.ac.uk/portal/daniel.r.stahl.html
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.
Prediction Modelling Group
Our Prediction Modelling Group provides a forum for researchers, clinicians and other experts.
About precision medicine and prediction modelling
Precision medicine is an emerging approach that focuses on identifying treatments or approaches.
Initiatives and aims
We are finding prediction modelling researchers to establish an online database listing members’ areas of interest and expertise.
