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Statistical Methods for Precision Medicine
Dates and times of two half-day sessions:
Feb 22-23, 2021 09:00 AM - 12:00 PM in Mountain Time (US and Canada)

Speakers:
• Dr. Erica Moodie, William Dawson Scholar and a Professor of Biostatistics at McGill University
• Dr. Eric Rose, Postdoctoral Fellow, McGill University

Workshop objectives :
• describe Adaptive Treatment Strategies (ATS) that operationalize the sequential decision-making process in the precision medicine paradigm
• identify the relevant data sources needed to implement ATS
• understand how to estimate ATS using multiple approaches – and their relative strengths and weaknesses in the one-stage and multi-stage settings
• implement some ATS models using available software tools using clinical data examples

Workshop prerequisites:
Attendees should have familiarity with regression modelling (not so much the theory, but at least the implementation of both LMs and GLMs). Demonstrations will be done in R and will mostly use the DTRreg package, but no prior experience with that package or software program is necessary. Exercises will use the “by hand” approach so attendees can implement the exercises in the software program of their choice.

A simulated data set will be sent to attendees prior to the workshop and should be uploaded into the software program the attendees wish to use to implement the exercises.

Please download the following data sets prior to the start of the workshop.

Cancer Data: http://vault.sfu.ca/index.php/s/KZXYAHecOQsStwA/download
Cancer Data Stage 2: http://vault.sfu.ca/index.php/s/yRXcEjk1g4i4v6p/download

Feb 22, 2021 09:00 AM in Mountain Time (US and Canada)

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