Biostatistics Seminar
Erica Moodie, PhD
William Dawson Scholar, Associate Professor, Biostatistics, Biostatistics Graduate Program Director, Department of Epidemiology, Biostatistics, & Occupational Health, º«¹úÂãÎè
How SMART is your trial? Obtain quality data about dynamic treatment regimes
ALL ARE WELCOME
Abstract:
Current practice in randomized trials typically focuses on identifying the single best treatment for a particular condition. Clinical practice, however, has consistently been more concerned with a patient- rather than disease-centric approach. Dynamic treatment regimes are part of a rapidly expanding area of research whereby such personalized treatment strategies can be identified. These methods can lead to improved results over standard 'one size fits all' approaches, and provide a route to formalizing treatment adjustments in an evidence-based manner. In this talk, I will give an introduction to dynamic treatment regimes, focusing primarily on sequential multiple assignment randomized trials (SMARTs), the best means of obtaining high-quality data to determine optimal treatment regimes, and will present some new findings on the purported benefits of such trials from a case study involving the Clinical Antipsychotic Trials of Invervention Effectiveness (CATIE) Schizophrenia study.
Bio:
Erica Moodie is an Associate Professor of Biostatistics in the Department of Epidemiology, Biostatistics, and Occupational Health at º«¹úÂãÎè. Her main research interests are in causal inference and longitudinal data with a focus on dynamic treatment regimes. She is an Elected Member of the International Statistical Institute, an Associate Editor of Biometrics and the Journal of the American Statistical Association. She is a William Dawson Scholar and currently holds a Chercheur-Boursier junior 2 career award from the Fonds de recherche du Quebec-Sante.