The course, which is taught in English, provides an overview of recent methodological developments in epidemiological research.
Methods to correct for confounding will be discussed, including propensity scores, inverse probability weighting, and instrumental variable analysis. We also look at graphical methods to illustrate causal relations through Directed Acyclic Graphs (DAGs). These DAGs are then used to understand other topics that will be discussed during the course including causality, mediation analysis, and estimating the effects of time-dependent variables. Recent developments in target trial emulation and estimands are discussed and methods to handling measurement error and missing data are taught and practised. Also, recent developments in infectious disease epidemiology are reviewed.
The target audience of the course are PhD students in training for epidemiologist, epidemiologists who want to gain knowledge on modern epidemiological methods, and other researchers who are involved in the design and analysis of epidemiological scientific research.
