Model selection using information criteria by Prof Daniel Stahl

About the speaker

Prof 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.

About the talk

Prof Stahl’s talk will discuss model fitting problems, focusing on ways to select your analytical model using information criteria.