Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| CE_20C | Tue, 8/6/2013, 8:00 AM - 12:00 PM | W-Ville-Marie | |
| Personalized Medicine and Dynamic Treatment Regimes — Continuing Education Course | |||
| ASA , Biometrics Section | |||
| Instructor(s): Eric Laber, NC State University, Michael R. Kosorok, The University of North Carolina-Chapel Hill | |||
| Dynamic treatment regimes operationalize clinical decision making through a sequence of individualized treatment rules. Each treatment rule corresponds to a milestone in the disease process and maps up-to-date patient-level information to a recommended treatment. The goal is to find a sequence of treatment rules that maximizes a cumulative clinical outcome, while potentially accounting for factors like cost, local availability, and patient individual preference. With their promise of delivering the right treatment to the right patients at the right time, dynamic treatment regimes are positioned to make a positive impact on the quality and affordability of patient care. Due to technical advances, patient-level data continues to increase in quality, complexity, volume, and accessibility. Statistics plays a key role in the construction of dynamic treatment regimes using observational and randomized clinical trial data. This workshop introduces basic concepts for estimation of dynamic treatment regimes from data. We provide a broad overview of evidence-based personalized medicine. We then discuss methods for estimating optimal treatment regimes for one or more decision points. We cover traditional regression-based methods, and more recent classification-based methods. We conclude with techniques for designing Phase II and Phase III clinical trials focused on discovery and verification of individualized treatment regimes. | |||
2013 JSM Online Program Home
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