Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching
Causal inference in epidemiology and medicine is the process of drawing a conclusion about a causal connection between an exposure/intervention and an outcome. It provides important information for health policy decision makers, HTA agencies, clinical guideline developers and researchers to derive valid causal interpretations from study results in health and medicine. This 4-day certiied course covers the key concepts and methodological approaches to causal inference in observational and experimental studies with a specific focus on adjustment for treatment switching in clinical trials. Further aspects include adjustment for time-varying confounding, adjustment for compliance, adjustment for multiple lines of treatments, study design with real world data analysis, and the use of causal graphs.
Registration for this course can be made online or by fax. Payment details, cancellation policy and registration form in PDF format are available on www.umit.at/htads
Contact & Course Location
Continuing Education Program on
HTA & Decision Sciences (HTADS)
Institute of Public Health, Medical Decision
Making and HTA
UMIT – University for Health Sciences,
Medical Informatics and Technology
MDM offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health policy development.