Applied Epidemiology III ‒ Quasi-experimental designs for impact evaluation in epidemiology and public health: theory and practice
Course organizer
Aliasghar Kiadaliri, aliasghar.ahmad_kiadaliri@med.lu.se
Credit
3hp
Language of instruction
English
Target group
The course is intended for PhD students at the Faculty of Medicine working on non-randomized studies. The course is also open for post-doctoral and senior researchers with a course fee of 5000 SEK.
Prerequisites
Applied Statistics I & Applied Statistics II (or equivalent knowledge obtained elsewhere). Access to and skills in one of statistical software packages SPSS, STATA or R is also required.
Time
No time set. Planned for spring 2020.
Place
Lund - Lecture room will be announced to the students before course start.
Number of participants
20
Course content
This course covers four main quasi-experimental designs used for impact evaluation in epidemiology and public health. Following subjects will be covered during the course:
- Causal Inference and counterfactuals
- Internal and external validity and their threats
- Difference-in-difference technique
- Interrupted time series analysis
- Regression discontinuity design
- Synthetic control method
Funding
This course receives financial support from EpiHealth (Epidemiology for Health) and LUPOP (Lund University Population Research Platform).