Closing the Real-World Evidence Gap: Pragmatic Clinical Trials & Observational Studies

December 4, 2019 8:00 AM - 10:00 AM

MassBio, 300 Technology Square 8th Fl, Cambridge, MA 02139

Add to Calendar 12/4/2019 8:00:00 AM 12/4/2019 10:00:00 AM Closing the Real-World Evidence Gap: Pragmatic Clinical Trials & Observational Studies

Clinical trials are performed at specialized sites, with entry criteria that selects subjects likely to show efficacy but who are not necessarily representative of the broad population of patients. There is increasing concern on the part of regulators that explanatory clinical trials, which confirm a clinical hypothesis, tend to overestimate the effectiveness and underestimate the safety of medicinal products and devices. The use of real-world evidence to support regulatory decision making is discussed in the FDA final guidance for medical devices (2017) and draft guidance for drugs and biologics (2019). The guidances outline prospective pragmatic clinical trials (PCTs) and retrospective observational studies as the means to bridge the gap between explanatory trials and adoption evaluation. In this forum, our panel of experts will discuss the evolution and future of PCTs and observational studies as important tools for integration of real-world evidence in medical product development.

Sponsored by the Biostatistics, Data Management & Clinical Trials (BSDMCT) Forum Working Group.
MassBio, 300 Technology Square 8th Fl, Cambridge, MA 02139
Sr. Director, Statistical Group Lead for Oncology Hematology Franchise, Pfizer
Jane Liang White is currently a senior director at Pfizer managing a group of statisticians in Oncology Hematology Franchise. Jane joined Pfizer Oncology in 2004 and has worked on numerous projects across Phase 1-4 with extensive submission experience in both solid tumors and hematology. Prior to Pfizer, Jane worked at Bristol-Myers Squibb Oncology and Fidelity Investments. Jane received her B.S. in Applied Mathematics from Beijing Institute of Technology in 1990 and Doctor of Science (ScD) in Biostatistics from Harvard University in 1996.