Our working group conducts teaching and research in the area of biostatistics.
Most of our courses are targeted at students from the statistics and data science master at LMU, as well as the Elite Data Science Master. We lecture on statistical methods in epidemiology, causality, and supervise theses and practical projects of certain modules.
Our research is funded by the German Research foundations Heisenberg Program as well as the DFG project "Continuous Interventions in Epidemiology: from Theory to Practice". In these projects, causal inference methods for longitudinal continuous interventions are developed, and applied to (phamaco-)epidemiological questions.
Other research projects include the computational angles when integrating machine learning algorithms into causal effect estimation, causal fairness concepts, missing data methods, quantitative methods in public health and comparative effectiveness research in infectious disease epidemiology, longitudinal mediation analyses, among others.
Announcements
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16.05.2023
New working paper
Causal Inference for Multiple Time Point Interventions more