Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Welcoming speech by the conference chairs MEMTAB2020 symposium.
Keynote presentation by David Kent, followed by two oral presentations and Q&A.
David Kent, MD, MS, is the Director of the Tufts Predictive Analytics and Comparative Effectiveness (PACE) Center at the Institute for Clinical Research and Health Policy Studies (ICRHPS), Tufts Medical Center; Director of the Clinical and Translational Science (CTS) MS/PhD Program at the Tufts Graduate School of Biomedical Sciences, Tufts University; and Professor of Medicine, Neurology, and CTS at Tufts Medical Center/Tufts University School of Medicine. At PACE, the main research interest is to better understand and address the limitations of using group‐derived evidence as the basis for decision making in individuals. Dr. Kent is a clinician-methodologist with a broad background in clinical epidemiology with a focus on predictive modeling, individual patient data meta-analysis, and observational comparative effectiveness research. His applied work has focused on cardiovascular disease and diabetes. His work also addresses methodological issues in how to employ risk-modeling to better understand heterogeneous treatment effect (HTE). He is currently the Principal Investigator of several grants, including a National Institutes of Health (NIH) comparative effectiveness project which examines silent brain infarction through natural language processing and big data, and 3 Patient-Centered Outcomes Research Institute (PCORI) grants (and a just completed one-in-the-nation PCORI Predictive Analytics Resource Center (PARC) grant, now completing a demonstration project [SCOPE]). He has received uninterrupted research funding from NIH/NINDS since 2003 and from PCORI since 2012. Dr. Kent also served in several important advisory roles, including external consultant to the PCORI Methodology Committee for the section on HTE in their draft methodology report, and has years of experience leading successful predictive analytic projects and investigating HTE in clinical trials, collaborating with methodological experts worldwide, serving key leadership and advisory roles, and directing the PACE and PARC Centers at Tufts.
2:00pm - 2:30pm
Using Group Data for Individual Patients: The Predictive Approaches to Treatment Effect Heterogeneity (PATH) Statement
David M. Kent1, David van Klaveren1,2, Jessica K. Paulus1, Ewout Steyerberg3
1Predictive Analytics and Comparative Effectiveness Center, Tufts Medical Center/Tufts University School of Medicine, United States of America; 2Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands; 3Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
Application of the PATH Statement: Predicting Treatment Benefit of Heart Bypass Surgery versus Coronary Stenting
David van Klaveren1,2, Kuniaki Takahashi3, Ewout W Steyerberg1,4, David M Kent2, Patrick W Serruys5
1Erasmus University Medical Center, Rotterdam, The Netherlands; 2Tufts Medical Center, Boston, USA; 3Academic Medical Center, University of Amsterdam, The Netherlands; 4Leiden University Medical Center, Leiden, The Netherlands; 5National University of Ireland, Galway, Ireland