Ausschließlich für Fachpublikum
Intensive Short Course
The intent of this course is to strengthen the methodological skills of the research community. The course is designed for researchers, public health professionals, epidemiologists and clinicians familiar with advanced epidemiologic knowledge, algebra, and statistical computing.
At the end of the week participants should be able to:
Use the sufficient cause model, counterfactual susceptibility type model, and a causal graph to assist with the design or analysis of an epidemiologic study;
calculate adjusted measures of effect and select those that, when collapsible, correspond to the no-confounding condition. Use the adjusted measures of effect to estimate the direction and magnitude of confounding;
distinguish effect measure modifi cation, interdependence, and statistical interaction from one another as separate - but related - concepts of interaction;
identify the likely magnitude and direction of bias due to misclassification of exposure, outcomes, confounders and modifiers;
weigh the advantages and disadvantages of significance testing;
compare the advantages and disadvantages of frequentist and Bayesian approaches to analysis of a single study, to evidence, and to changing your mind.
Course fees 360 € for students, 450 € for other participants
Professor Matthew Fox, DSc, Boston University, School of Public Health, Department of Epidemiology and Center for Global Health & Development
Institut für Public Health, Charité-Universitätsmedizin Berlin
9:00 - 17:00
Maleen Kaiser (firstname.lastname@example.org)