On April 1, 2019, 352 statisticians, epidemiologists and biostatisticians spent a long lunch hour together listening to speakers share examples and talk about their experiences with real-world data. This was a follow-up to a first meet-up that was held back on October 4, 2018 on this same topic. While attendees predominantly represented industry, there were a significant number of individuals from government agencies as well as from academia in attendance.
For this follow-up session, the following intro was presented:
"Real world data (RWD) has become an important source for addressing medical and health related questions. Various types of RWD, such as claims, electronic health records, surveys, and digital data, provide great opportunities for successful partnerships between academia and business, industry, and government organizations. In this meet-up we will hear examples of how experts have examined the nature of RWD, have analyzed RWD, and have used findings from their research to answer important real-world questions."
Presenters for this session included Mark Levenson from the FDA whose talk was entitled, "The Use of Real-World Data and Real-World Evidence at the US FDA: Recent Initiatives and Activities". He was followed by David Madigan, from Columbia University. His talk was entitled, "Massive analysis of RWD: a new paradigm for observational studies". And, finally, Elizabeth Stuart from Johns Hopkins spoke about "Opportunities for, and complexities of, using real-world data for non-experimental comparison group designs". You can find copies of the slides for these presentations below and a video of the entire conversation for those of you that missed it!
NISS/Merck Meet-up Recording: