Risk Modeling, Management and Mitigation in Health Sciences
Organized by Daniel J. Graham (Imperial College London ), Nicholas P. Jewell (University of California, Berkeley), Erica E. M. Moodie (McGill University), David A. Stephens (McGill University)http://www.crm.umontreal.ca/2017/Sante17/index_e.php
12/11/2017 - 12/13/2017
Centre de recherches mathématiques, Centre de recherches mathématiques Université de Montréal Pavillon André-Aisenstadt 2920, Chemin de la tour, 5th floor Montréal (Québec) H3T 1J4 CANADA
Risk analysis is a critical part of the design, implementation and assessment of medical research and healthcare provision and development. It plays an active role from the design of clinical trials in drug development through to post-marketing surveillance of outcomes, and to the assessment of risk to health from environmental, occupational and individual-specific factors.
The workshop will address aspects of quantification and mitigation of risk in health sciences. Different themes will include the modeling and analysis of occupational and environmental health, mitigation of risk in the context of infectious diseases, risk assessment in trial design for toxicity and efficacy in Phase II/III clinical trials, and the quantification of adverse event risk in post-market surveillance. Statistical methods which will be discussed in this context include spatial and causal modeling, clinical trial design and personalized treatment strategies.
Students and postdoctoral fellows are encouraged to present a poster at the workshop. One poster session has been scheduled, as well as two sessions of short lightning talks, so that trainees can introduce themselves and their work to the entire audience.
Limited student travel grants are available. Apply early.