Abstract Details
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Activity Number:
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330
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Type:
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Invited
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Date/Time:
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Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Risk Analysis
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| Abstract - #306973 |
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Title:
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Adjustment of Health Care Risk Estimates Based on Observational Data
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Author(s):
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Kenneth Lopiano*+ and Robert L. Obenchain
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Companies:
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SAMSI and Risk Benefit Statistics LLC
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Keywords:
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healthcare ;
observational data ;
bias adjustment ;
local patient subgroups ;
electronic health records
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Abstract:
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As electronic health records (EHRs) and other emerging technologies become are utilized more, large databases consisting of patient characteristics, treatments, and outcomes will become more common. Healthcare providers are interested in leveraging such information to learn about treatment effectiveness. Because of the observational nature of the data, unique statistical challenges will arise when trying to ascertain clinically relevant knowledge (e.g., accounting for unmeasured confounders and selection bias). In this talk we review some of the challenges and opportunities researchers will face when using such observational databases. In the spirit of "personalized medicine", we focus on problems and solutions related to identifying individual treatment effectiveness.
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Authors who are presenting talks have a * after their name.
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