LFU:online

Successful participants of this course will have acquired profound knowledge on the ways of deriving scientific knowledge from observational studies, including the limitations, for example, with causal interpretation of effects.

Correlation studies, Mediation analysis and structural equation models, Propensity score matching, other matching procedures, Case-control studies, register studies, causal inference, statistical methods for binary data and event times, Markov processes for multistage events, diagnostic studies, historical controls, nonrandomized studies, Bayes-statistics, STROBE-guideline. 

Lecture and exercise sheets

exercise sheets + written exam

Lash et al. (2022). Modern Epidemiology.

Pearl (2012). Causality.

Vorlesungsskript mit schriftlichen Zusammenfassungen + einzelne weitere Artikel

Greenland S (1999) Causal diagrams for epidemiologic research. Epidemiology 10, 37–48

Hernán M (2018) The c-word: scientific euphemisms do not improve causal inference from observational data. Am J Public Health 108, 616–619

Westreich D, Greenland S (2013) The Table 2-fallacy. Presenting and interpreting confounder and modifier coefficients. Am J Epidemiology 177, 292–298