Lecture

Real-world Evidence in Health Data Sciences

In course

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Description

This lecture discusses the importance of real-world evidence in health data sciences, focusing on observational research, reliability, and reproducibility. The instructor presents examples of major bleeding risk comparisons among atrial fibrillation patients and the use of negative controls in drug safety studies. The lecture emphasizes the need for systematic, open-source approaches in large-scale analytics to improve the quality and reliability of health data analysis.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_5652zkjz

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Ontological neighbourhood

Health sciences

Cardiology: Cardiovascular disease

Statistics

Statistical inference: Mathematical statistics

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