Discover how real-world data is reshaping clinical decision-making in this engaging and thought-provoking lecture. Although randomized clinical trials have long been the gold standard in comparative effectiveness research, there is a growing demand for evidence derived from "real-world data" (RWD). These data sources—ranging from observational cohort studies to administrative databases and patient registries—offer valuable insights into the real-world effectiveness and safety of treatments.

Dr. Thomas Debray and Drs. Johanna Muñoz will explore cutting-edge advancements in deriving treatment effect estimates from one or more non-randomized data sources. They will address key challenges, including data quality limitations and heterogeneity between sources, and demonstrate practical solutions through recent case studies.

What you will Learn

• The importance of real-world data in bridging the efficacy-effectiveness gap.
• Various study designs for generating real-world evidence, including observational studies and pragmatic clinical trials.
• The challenges and solutions in ensuring the quality and validity of real-world data.
• Recent developments in evidence synthesis and the use of advanced imputation methods for missing data.

This lecture is intended for healthcare professionals, researchers, and anyone interested in the latest methods for evaluating new drugs, therapies, and medical interventions.

About the Speaker

Dr. Thomas Debray is a leading expert in statistical innovation, with affiliations in the Netherlands and the UK. He is at the forefront of developing and implementing advanced statistical methods to facilitate evidence synthesis and improve healthcare decision-making.

Don't miss this opportunity to gain valuable insights into the future of comparative effectiveness research!