This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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150
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Type:
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Invited
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305973 |
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Title:
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Measuring the Performance of Markers Used to Select Patient Treatment
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Author(s):
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Holly Janes*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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Division of Public Health Sciences and Vaccine and Infectious Disease Institute, Seattle, WA, 98109, US
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Keywords:
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biomarker ;
treatment selection ;
predictiveness curve ;
ROC curve ;
selection impact curve ;
clinical trial
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Abstract:
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Markers for treatment selection can potentially improve patient outcomes and decrease medical costs by targeting treatment to those most likely to benefit and avoiding unnecessary and potentially harmful treatment for others. We argue that the standard approach to evaluating treatment selection markers inadequately characterizes marker performance. We describe a new approach, marker-by-treatment predictiveness curves, which shows how individual marker measurements can be used to inform treatment decisions. Key summary measures include the proportion of subjects whose treatment recommendations change following marker measurement, and the population impact of using the marker to select treatment. The methods are illustrated using candidate markers for selecting women for adjuvant chemotherapy for the treatment of ER-positive breast cancer.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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