I apply methods from Health Economics, Applied Microeconometrics, Epidemiology, Health Data Science and Real World Evidence to health economic research questions as inequality in access to health care, health and behaviour of the health care workforce, efficiency and productivity measurement, financial and non-financial incentives and evaluation of health care policies. I have extensive expertise with research funding, project management and research collaborations. Some examples:

  • HoW research programme: Research Program on Hospital Workforce (ca 1 mio DKK various funding, PI) LINK
  • VÆKST: Research program on childrens health and well being (40 mio DKK, Center for Sundt Liv og Trivsel, co-applicant) LINK
  • LightCOMM: Research project on obesity (180 mio DKK, Novo Nordisk Foundation, co-applicant) LINK
  • Modernizing the GP scheme: (15 mio NOK, Det Norske Forskningsråd, co-applicant) LINK
  • PINCH: Incentives in general practice (10 mio DKK, Novo Nordisk Foundation, co-PI) LINK
  • FOKUS & FORDYB Trials: Scientific protocol for a Randomized Controlled Trial for Primary Care Remuneration (4 mio DKK, Sundhedsministeriet og Finansministeriet,  PI) LINK
  • IQCE – ETN: EU Marie Curie Phd network collaboration with 7 Universities and 15 phd students (€3.9 million, co-applicant and lead supervisor) LINK


I am coordinating the Health Data Science profile at the Data Science graduate program at SDU ( We follow the definition of Health Data Science by Hernan et al. (2019)* and aim at giving students skills in Datamanagement, Prediction (machine learning) and Causal Analysis. I teach the course “From data to Evidence” focusing on quasi experimental methods.

*Hernan et al (2019). A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks. CHANCE, 2019 32:1, 42-49



  • Louise Schubert Paaske (main supervisor): Health consequences of unplanned overtime among hospital staff.
  • Amalie Wiben (main supervisor): Backdisorder and occupational workload.
  • Sasja Maria Pedersen (co-supervisor): Optimizing diabetic retinopathy screening in Denmark: Application of machine learning algorithms and stated preference experiment
  • Kristoffer Panduro Madsen (co-supervisor on one chapter): Effects of initiating insulin pump therapy in the real world: a nationwide, register-based study of adults with type 1 diabetes.
  • Mickael Kriegbaum (co-supervisor): Long-term individual and societal consequences of untreated vertebral osteoporotic fractures.
  • Søren Grøn (co-supervisor): Self-management and health care utilization in people with low back pain.


  • Ryan Pulleyblank (main supervisor): Impacts of Danish Healthcare System Changes Affecting Care of Patients with Type 2 Diabetes.
  • Morten Sahl (co-supervisor): Evaluating organisational changes using quasi-experimental study designs – evidence from a case study including low back pain patients.
  • Anne Sophie Oxholm (co-supervisor): Physician Quality and Financial Incentives.