Together, the availability of health data and the democratization of powerful computing now make precision medicine a realistic goal. Medical researchers, guided by the principles of evidence-based medicine, now strive to find decision rules that tailor patient care based on patient-specific characteristics through time. A sequence of decision rules that map patient information to a recommended treatment is called a dynamic treatment regime.
Naturally, quantitative tools play a role in finding these decision rules by using experimental and non-experimental data to infer about optimal decisions. There are many benefits to personalizing care, in particular in reducing overtreatment and costs.
- Review the precision medicine paradigm
- Examine examples of research in precision medicine
- Understand quantitative methods for estimating dynamic treatment regimes
- Use R to learn how to implement methods for precision medicine.
- This workshop is open to everyone, but space is limited.
Instructors: Daniel Rodriguez Duque and Eric Rose
Fee: $25 (seating is limited)
*Reimbursement is available to McGill students after attending the workshop.
To Register: via Eventbrite
For more information on workshops email us at: workshop-micm [at] mcgill.ca (subject: Workshop)