Theis Lange
Head of Department, Professor
Department of Public Health
Postboks 2099, Øster Farimagsgade 5 opg. B, 1014 København K, 24 Øster Farimagsgade 5, Building: 24-1-08
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.
ID: 13745
Most downloads
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2570
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Some Econometric Results for the Blanchard-Watson Bubble Model
Research output: Working paper › Research
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530
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Wellbeing And Resilience: Mechanisms of transmission of health and risk in parents with complex mental health problems and their offspring - The WARM Study
Research output: Contribution to journal › Journal article › peer-review
Published -
418
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Applied mediation analyses: a review and tutorial
Research output: Contribution to journal › Review › peer-review
Published