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05.12.2018 To 05.12.2018
BEMC Talk, 05.12.2018: "This talk has no title"
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.
07.11.2018 To 07.11.2018
BEMC Talk, 07.11.2018: "Multi state modelling in chronic diseases"
Ralph Brinks, Düsseldorf
Multi-state models are a useful extension of the epidemiologist’s toolbox. The classical illness-death model gains fundamental insights about relations between the prevalence and incidence of a chronic disease – insights beyond the folkloristic ‘prevalence odds equals incidence times duration’. A variety of applications is presented, e.g. diabetes and rheumatic diseases in the study of dementia. With a simple extension, the illness-death model is helpful in studying diseases with a prolonged state of undiagnosed disease such as hypertension or cancer.
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?”
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.
05.09.2018 To 05.07.2018
BEMC Talk, 5.9.2018: Covariate selection in observational studies with limited knowledge of the true causal structure
Professor Dr. Sebastian Baumeister (Regensburg)
Sebastian Baumeister from Regensburg University will talk about Covariate selection in observational studies with limited knowledge of the true causal structure.
20.08.2018 To 24.08.2018
Advanced Epidemiologic Methods: Causal Research and prediction modeling
Intensive Short Course