Causal Inference and Propensity Score Methods General

The course is intended for epidemiologists concerned with estimation of treatments effects between study groups using observational data.

Participants are expected:

To have basic knowledge of statistics and knowledge equivalent to EpidM course ‘Regression Techniques (V30)’. This is expected to include the following knowledge:
- Probabilities, conditional probabilities, contingency tables;
- Expectations, conditional expectations and variances;
- Statistical dependence and independence, statistical estimation and testing, confidence intervals;
- Linear regression and logistic regression modeling.
To have basic knowledge of the statistical programming language R and the environment RStudio.

You can register for this course via the EpidM website.

After registration, the prerequisites will be tested.

Still have questions? Feel free to contact:

Causal Inference and Propensity Score Methods