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Upcoming events in chronological order
10.10.2018 To 10.10.2018
BEMC Talk, 10.10.2018: “Interactive DAGs: Exploring causality theory with Dagitty”
Dr. Johannes Textor, Nijmegen
Directed Acyclic Graphs (DAGs) can be useful to aid causal interpretation of observational data, but sensibly applying DAGs in practice can be very challenging. The talk will discuss (1) how we can test whether a DAG is mis-specified or inconsistent with a dataset; (2) how we can deal with the issue of statistical equivalence between DAGs; and (3) how we can conduct DAG-based analyses when the presence of latent confounders cannot be ruled out.
17.10.2018 To 17.10.2018
IPH Lecture - Maria Glymour, ScD, MS, Professor at UCSF School of Medicine
“Are we ready for a biomarker-only based diagnostic criterion for research in Alzheimer's Disease?”
Maria Glymour, ScD, MS, Professor at the Department of Epidemiology and Biostatistics, UCSF School of Medicine, will present “Are we ready for a biomarker-only based diagnostic criterion for research in Alzheimer's Disease?”
07.11.2018 To 07.11.2018
BEMC Talk, 07.11.2018: "Multi state modelling in chronic diseases"
Ralph Brinks, Düsseldorf
05.12.2018 To 05.12.2018
BEMC Talk, 05.12.2018
James Robins, Professor of Epidemiology, Harvard T.H. Chan School of Public Health
The principal focus of Dr. Robins’ research has been the development of analytic methods appropriate for drawing causal inferences from complex observational and randomized studies with time-varying exposures or treatments.