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Activity Number:
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314
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Type:
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Invited
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Date/Time:
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Tuesday, August 8, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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General Methodology
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| Abstract - #305569 |
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Title:
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Comparing Adaptive and Nonadaptive Algorithms for Cancer Early Detection with Novel Biomarker
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Author(s):
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Martin W. McIntosh*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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M2-B230, Seattle, WA, 98109-1024,
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Keywords:
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Abstract:
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Serum early detection biomarker discovery and validation commonly begin by comparing biosamples from cases and controls ascertained in cross-sectional studies. Translating those findings to the clinic consumes multiple steps of validation and, at each step, which decisions must be made regarding which candidate biomarkers should be selected for future development. One approach is to use sophisticated mathematic procedures to populate the panel with an optimal set of markers chosen based on how they behave together in these cross-sectional studies. We present an argument for foregoing this optimization early in the development and discovery process, as choices made early may have little relevance downstream and lead to sub-optimal performance.
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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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