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- Advanced Demographic Methods 2 (SU)
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- Biostatistics II: Logistic regression for epidemiologists (KI)
- Causal inference for epidemiological research (KI)
- Competing risks and multi-state models: concepts, methods and software (KI)
- Epidemiology II: Design of epidemiological studies (KI)
- Genetic epidemiology (KI)
- Introduction to Quantitative Data Management and Statistics (SU)
- Introduction to Stata for epidemiologists (KI)
- Population Processes (SU)
- Reproductive Epidemiology
- Social Stratification (SU)
- Study design in clinical research (KI)
- Introductory course in SAS programming (KI)
- Introduction to Stata for epidemiologists (KI)
- Biostatistics I: Introduction for epidemiologists (KI)
- Competing risks and multi-state models: concepts, methods and software (KI)
- Epidemiology I: Introduction to epidemiology (KI)
- Cardiovascular epidemiology (KI)
- Biostatistics III: Survival analysis for epidemiologists (KI)
- Epidemiology III: Analysis and interpretation of epidemiological data (KI)
- Bias in observational studies – what can go wrong in Epidemiology? (LU)
- Social Stratification (SU)
- Population Development and Social Change (SU)
- Advanced Demographic Methods 1 (SU)
- Advanced methods in Epidemiology (UmU)
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- SINGS activities autumn 2014
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- Course in Competing risks September 2013 at KI
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