We offer 8 courses in 2019 which run for 3 days, either from Monday to Wed or Thurs to Sat. Each course earns 1 ECTS.
- Causal inference in observational epidemiology
Prof. Miguel Hernan, Prof. Marcel Zwahlen
- Assessing Bias in Randomized and Non-Randomized Studies: New Approaches, New Tools
Prof. Jonathan Sterne, Prof. Julian Higgins
- Advanced Methods in (Network ) Meta-Analysis – A Practical Course in R
Prof. Georgia Salanti, Dr. Guido Schwarzer
- Prognostic Research: Concepts and Models
Prof. Margret May, Prof. Matthias Egger
- Statistical Analysis with Missing Data Using Multiple Imputation and Inverse Probability Weighting
Prof. James Carpenter, Prof. Marcel Zwahlen
- Digital Epidemiology and Participatory surveillance: Methods and Applications
Dr. Daniela Paolotti, Dr. Ciro Cattuto
- Mendelian randomization: moving from the one-sample to two-sample approach
Prof. George Davey Smith, Dr. Rebecca Richmond
- Parametric Competing Risks and Multi-state models
Prof. Paul Lambert, Dr. Michael Crowther
Our website is now open for bookings. The number of participants is limited – book early to avoid disappointment.