Biostatistics Seminar

Erica Moodie, PhD

William Dawson Scholar, Associate Professor, Biostatistics, Biostatistics Graduate Program Director, Department of Epidemiology, Biostatistics, & Occupational Health, McGill University

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 McGill University. 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.