Biographie
Dr Schuster, Assistant Professor and Graduate Program Director at the Department of Family Medicine McGill University, is holder of a Canada Research Chair in Biostatistical Methods for Primary Care Research. His main methodological interests are in the development and application of causal inference methods for the design and analysis of cluster randomized controlled trials and observational research studies based on administrative or electronic medical / health record data. His specific methodological interests are in: - Design and analysis of Cluster Crossover Trials, in particular Stepped Wedge Designs - Causal Inference methods such as Marginal Structural Models and Targeted Learning, - Theory and applications of Personalized Medicine and Dynamic Treatment Regimens such as Sequential, Multiple Assignment, Randomized Trial (SMART) designs - Bayesian adaptive and sequential study designs, in particular Internal Pilot Studies and so called Platform Trials - Confounder selection and adjustment in high dimensional covariate settings - Modern methods for Statistical and Machine Learning and Data Visualization
Affiliation
McGill University
Lieu de pratique
Montréal
RRAPPL
Aucun
Domaine d'intérêts / expertises
- Education / Formation
- Epidémiologie
- Informatique médicale / DME
- Recherche axée sur la pratique ("practice-based research")
- Santé publique
Expertises méthodologiques
- Essaies randomisés classiques ou pragmatiques
- Statistiques avancées
- Synthèse de connaissances (méta-analyse / réaliste / systématique)
Liens
Site Web: https://www.mcgill.ca/familymed/tibor-schuster
LinkedIn: https://www.linkedin.com/in/tibor-schuster-a1541271/