Theis Lange

Theis Lange

Head of Department, Professor

My research involves methodological research within statistics as well as a wide range of applied collaborations with medical doctors, epidemiologists, psychologists etc. My methodological work is focused on causal inference i.e. a formal framework for addressing cause and effect. Methods I have developed have been broadly applied and its novelty recognized by the 2012 Kenneth Rothman Prize. My applied collaborations span from RCTs to complex longitudinal observational studies and from intensive care research to psychology.

Current research

  • Causal inference and mediation
  • Statistical analysis of clinical trials
  • Novel designs and associated statistical methods for creation of evidence in the real world

Possible conflicts of interest

Have served in Data Safety Monitoring Committees for Novo Nordisk and Leo Pharma as well as in a number of investigator sponsored trials. Have done consultancy/teaching work for Bohringer-Ingelheim and BeiGene. Have served under instruction by SSI as part of the work with mathematical modelling of Corona. 

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