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Abstract Details
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Activity Number:
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392
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Health Policy Statistics Section
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| Abstract - #306773 |
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Title:
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Response Surface Matching for Survey Nonresponse
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Author(s):
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Frank Yoon*+
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Companies:
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Mathematica Policy Research
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Address:
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1100 FIRST ST NE, Washington, DC, 20002, United States
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Keywords:
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matching ;
prognostic score ;
survey nonresponse ;
health policy
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Abstract:
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Prognostic score-based methods have been proposed as a complementary approach to propensity score-based methods for achieving covariate balance in observational studies. Likewise, standard adjustments for survey nonresponse, such as response propensity matching, can be supplemented by incorporating information from respondent outcomes. In this talk I will discuss how methods for matching on response profiles can be extended and applied to adjustments for survey nonresponse. I will illustrate these ideas through simulation studies and applications to large scale surveys.
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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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