The Future of Statistical Modeling in Medical Data

Aim and Description

The inherent 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 analytical challenges. 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).