Pharmacoepidemiology and Clinical Research

Advanced Methodologies in Pharmacoepidemiology

This track focuses on innovative techniques enhancing the study of drug safety and effectiveness. Key areas include machine learning for pattern detection, propensity score matching to mitigate bias, and causal inference methods  for better understanding drug outcomes. It also covers Bayesian statistics for dynamic evidence updates and multi-database studies for comprehensive global insights. These advanced methodologies help navigate complexities in real-world data, improving the precision and reliability of pharmacoepidemiological research and ultimately enhancing medication safety and efficacy on a population level.