Abstract Details
Activity Number:
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13
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Type:
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Invited
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Date/Time:
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Sunday, August 9, 2015 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Medical Devices and Diagnostics
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Abstract #317918
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Title:
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Bayesian Analysis of Heterogeneous Treatment Effect in Patient-Centered Outcomes Research
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Author(s):
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Ravi Varadhan* and Thomas A. Louis and Chenguang Wang
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Companies:
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The Johns Hopkins University and Johns Hopkins Bloomberg School of Public Health/U.S. Census Bureau and Johns Hopkins Medical Institution
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Keywords:
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Abstract:
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Individuals vary in their response to a treatment. Understanding this heterogeneity of treatment effect (HTE) is critical for evaluating how well a treatment can be expected to work for an individual patient or a group of patients. Assessment of HTE is essential in patient-centered outcomes research (PCOR), which aims to help patients and stakeholders make informed personalized health care decisions. Results of many HTE analyses are, rightfully, treated with skepticism due to their ad-hoc nature and to concerns about Type I and Type II errors. The Bayesian approach provides a principled way to formulate consideration of the differences in treatment effect across patient characteristics. Here I will describe our efforts in developing guidance and software for conducting Bayesian HTE analysis for PCOR. This project is funded by the Patient-Centered Outcomes Research Institute (PCORI).
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Authors who are presenting talks have a * after their name.
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