Adaptive Intervention: Healing with Data
Why are treatments for chronic disease and addiction so often ineffective? Statistician Susan Murphy believes that generalized treatment approaches simply don’t take into account critical individual differences like patient response, risk, burden, adherence, and preference. By implementing a sequence of decision rules that dynamically adapt treatment to each individual’s response over time, Murphy explores the promising potential of adaptive intervention to maximize treatment efficacy by avoiding over-treatment and providing increased treatment only to those who need it.
Susan Murphy is a 2013 MacArthur Fellow who teaches Statistics at the University of Michigan. Murphy is also a principal investigator at the Methodology Center of Pennsylvania State University.
Why are treatments for chronic disease and addiction so often ineffective? Statistician Susan Murphy believes that generalized treatment approaches simply don’t take into account critical individual differences like patient response, risk, burden, adherence, and preference. By implementing a sequence of decision rules that dynamically adapt treatment to each individual’s response over time, Murphy explores the promising potential of adaptive intervention to maximize treatment efficacy by avoiding over-treatment and providing increased treatment only to those who need it.
Susan Murphy is a 2013 MacArthur Fellow who teaches Statistics at the University of Michigan. Murphy is also a principal investigator at the Methodology Center of Pennsylvania State University.
SFI’s Community Lecture series is generously sponsored by Thornburg Investment Management.