May
EpiHealth course in causal inference
The course emphasizes conceptualization, in particular the fundamental difference between association and causation, how to illustrate this using causal diagrams (DAGs) but also introduces statistical models and methods for providing estimates that can be endowed with a causal interpretation when using observational data.
Causal inference is a central aim of many empirical investigations, and arguably most studies in the fields of medicine, epidemiology and public health, sociology, education, behavioral sciences, demography, economics and health services research. These disciplines share a methodological framework for causal inference that has been developed over the last decades.
In this course, we learn the foundations of causal thinking and language, and applications for methods including propensity score estimation, inverse probability weighting, difference-in-differences, regression discontinuity, mendelian randomization and target trial estimation.
Data-examples are given throughout the course and practical problem solving and data analyses are carried out in parallel with theoretical material. Course participants will hopefully leave the course with a deeper understanding of the theory of causal effect estimation while armed with the necessary tools to apply appropriate methods to their own research questions.
For registration, send an email to: adam [dot] mitchell [at] med [dot] lu [dot] se (adam[dot]mitchell[at]med[dot]lu[dot]se)
About the event
Location:
CRC: room Medelhavet, Jan Waldenströms gata 35, 214 28 Malmö
Contact:
adam [dot] mitchell [at] med [dot] lu [dot] se