Aim and Description
complexity of the processes involved in disease occurrence, progression and
treatment, together with the increasing volume and complexity of data
collected in observational studies (“Big Data”), pose important conceptual and
In this workshop, we aim to link recent developments in model building
challenges in the areas of prediction, explanation and causal effects. The workshop intends to deepen the work in three of the groups of the
STRATOS (STRengthening Analytical Thinking for
Observational Studies) initiative (http://www.stratos-initiative.org/; task groups 2, 6, and 7).