Real-world data is data that was not collected for the purpose of research. It is being used to answer traditional research questions, along with applications for many Artificial Intelligence models. While the potential for insights from this type of data is substantial, there are complex aspects to using this data that without careful attention, can lead to errors in inference. This course focuses on the origins of real-world data and study design considerations, emphasizes the importance of a team-science approach.
2 units · Medical Option (Med-Ltr-CR/NC)
Real-world data is data that was not collected for the purpose of research. It is being used to answer traditional research questions, along with applications for many Artificial Intelligence models. While the potential for insights from this type of data is substantial, there are complex aspects to using this data that without careful attention, can lead to errors in inference. This course focuses on the origins of real-world data and study design considerations, emphasizes the importance of a team-science approach.
Offered in Spring 2027 at Stanford University.