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Abstract Details
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Activity Number:
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141
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Type:
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Other
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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ASA
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| Abstract - #303462 |
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Title:
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Heritage Health Prize
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Author(s):
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Hadley Wickham*+ and Chris Volinsky*+ and Genevera I. Allen*+ and Mark Culp*+ and Noah Pepper*+ and Homer Strong*+ and Eric Chi*+
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Companies:
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AT&T Labs Research and Baylor College of Medicine/Rice University and Lucky Sort and Rice University and WVU
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Address:
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, , 77004, USA , , , Department of Statistics, Houston, TX, 77005, USA , , , 8083 SE 13th Avenue #2, Portland, 97202, 8-83 SE 13th Avenue, #2, Portland, 97202, , , ,
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Keywords:
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Abstract:
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The session will begin with a brief introduction to the Heritage Health Prize by myself and Genevera and will continue with two talks giving insight into what the competition will reveal. It will conclude with two modern statistical approaches likely to be useful for modeling this type of data.
* Introduction to the Heritage Health Prize Genevera Allen and Hadley Wickham
* Lessons learned from the netflix prize Chris Volinsky
* Privacy vs Efficacy: The Double-Edged Sword of Health Data Homer Strong and Noah Pepper
* Robust parametric classification and variable selection by a minimum distance criterion. Eric Chi
* Multi-view Learning with Boosting Mark Culp
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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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