<video controls width="640" height="360" poster="http://streamod.cs.brown.edu:8801/J/F/mdres.jpg" > <source type="video/mp4" src="http://streamod.cs.brown.edu:8801/J/F/mdres.mp4" /> <source type="video/ogg" src="http://streamod.cs.brown.edu:8801/J/F/mdres.ogv" /> <applet code="com.fluendo.player.Cortado.class" archive="/cortado/cortado.jar" width="640" height="360"><param name="url" value="http://streamod.cs.brown.edu:8801/J/F/mdres.ogv"/></applet></video>
Colloquium of the Data Science Initiative
Friday, October 7, 2016 at 3:00 PM
Room 368 (CIT - 3rd floor)
Designing robust strategies for prostate cancer screening
Important decisions related to human health, such as screening
strategies for cancer, need to be made without a satisfactory
understanding of the underlying biological and other processes.
Rather, they are often informed by mathematical models that
approximate reality. Often multiple models have been made to study the
same phenomenon, which may lead to conflicting decisions. It is
natural to seek a decision making process that identifies decisions
that all models find to be effective, and we propose such a framework
in this work. We apply the framework in prostate cancer screening to
identify prostate-specific antigen (PSA)-based strategies that perform
well under all considered models.
Thomas Trikalinos is Associate Professor in Health Services, Policy &
Practice and founding director of the Center for Evidence-based
Medicine at Brown University’s School of Public Health. Most of his
research revolves around developing methods and tools for optimizing
the processes of evidence synthesis to inform decision making, and
conducting technology assessments in health and healthcare.
Host: Carsten Binnig