Working Group Scope
A cross-disciplinary collaboration working to improve the content and implantation of clinical trial safety analysis for medical research, leading to better data interpretations and increased efficiency in the clinical drug development and review processes.
Safety Analytics Education
Patient safety is an important responsibility of sponsors and regulatory authorities throughout the drug development process. To better aid the statisticians, statistical programmers, and data scientists who are engaged with these efforts, the PHUSE Safety Analytics working group has developed an educational subcluster to provide these quantitative scientists with a deeper understanding of the key concepts in this growing discipline.
The Pharmaceutical Industry Working Group on Estimands in Oncology in collaboration with PHUSE has started a Safety Task Force on estimands in safety, focusing on oncology. The Task Force will formulate recommendations regarding formulation and use of safety estimands in oncology clinical trials as well as identifying applications of estimands principles to help improve general safety reporting. Recommendations will include trial design, data collection, and analysis issues and ways to integrate clinical, statistical, operations, and data management aspects of study design and execution cooperatively. Key task force activities will include a dive into literature on the subject, formulation of recommendations, development of white papers, and preparation of journal manuscripts and conference presentations. Click here for Biography.
For more information, please contact Jonathan Siegel at Jonathan.firstname.lastname@example.org. For information on the Pharmaceutical Industry Working Group on Estimands in Oncology, please visit www.oncoestimand.com or contact Working Group co-chairs, Degtyarev Evgeny at email@example.com or Kaspar Rufibach at firstname.lastname@example.org.
Visit the PHUSE website to search for all Safety Analytics deliverables.
Research Advisor Safety Analytics, Global Statistical Sciences, Eli Lilly. Mary received a MS degree in statistics from Iowa State University in 1989. She has been employed at Eli Lilly since 1989 and is currently a research advisor in the Safety Analytics group within the Statistical Sciences function.
Mary consults with compound teams on safety analysis planning for Phase 2-3 studies and integrated submission documents. Her primary interests include analyses of adverse event data, analyses of laboratory data, statistical analysis plans, and collection of analysis of suicide-related events.
After graduating from Northwestern University with a bachelor's in economics, Greg served in the Navy for 4 years and taught high school math and physics for 5 years before going back to school to get a master's in applied statistics from Purdue University. Eventually, while working as a statistician, he earned his PhD in biostatistics from the University of Texas Health Science Centre. Gregs current research on blinded safety monitoring procedures emerged from his early work at academic medical centres (MD Anderson and the Methodist Hospital) and CRO's (West and Quintiles), developed into his college dissertation and continues to be developed in collaboration with statistical and clinical scientists from several pharmaceutical companies (Astellas, AbbVie and Merck). Greg established, with Bill Wang, the ASA Biopharm Safety Monitoring Working Group and is pioneering the joint DIA-ASA Interdisciplinary Safety Evaluation (DAISE) scientific Working Group, to advocate for aggregate safety assessments and cross-disciplinary scientific engagement.
Scott Proestel, MD, is Acting Associate Director of the Biomedical Informatics and Regulatory Review Science Team at the US Food and Drug Administration’s Center for Drug Evaluation and Research (CDER). He completed his internal medicine training at The Johns Hopkins Hospital and obtained his medical degree from Columbia University Vagelos College of Physicians and Surgeons. He has previously worked as an FDA medical officer and team leader conducting and supervising pre-market reviews of new drug applications, overseen HIV clinical trial conduct as an Office Director at the US National Institutes of Health, and worked as an FDA Division Director responsible for post-market safety surveillance in CDER as well as the FDA’s Center for Biologics Evaluation and Research.
Scott’s most recent informatics research assessed the use of artificial intelligence to evaluate spontaneous safety reports submitted to the FDA Adverse Event Reporting System and Vaccine Adverse Event Reporting System.