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Activity Number:
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421
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304099 |
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Title:
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Cross-Community Comparison and Multi-Frame Weighting in REACH US
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Author(s):
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Peter K. Kwok*+ and Hee-Choon Shin and Whitney Murphy and Colm O'Muircheartaigh and Angela Debello and Kari Carris and Youlian Liao
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Companies:
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NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and The University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and CDC
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Address:
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55 E. Monroe St., Ste. 2000, Chicago, IL, 60603,
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Keywords:
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REACH US ; Address-based sampling ; Community-based health program ; Multi-frame weighting ; Pseudo-maximum likelihood ; Multiplicity
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Abstract:
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REACH US (Racial and Ethnic Approaches to Community Health Across the U.S.) is an umbrella of community-based programs aimed to eliminate health disparities among racial and ethnic groups. Five of the REACH US programs are based in the Greater Los Angeles areas with various overlapping geographies and target populations, and with different combinations of scientific interests in cardiovascular disease, diabetes mellitus, adult immunization, and breast and cervical cancer. We will explore in this paper the potential of making cross-community comparisons, and discuss some of the issues. In particular, we evaluate the performance of Lohr's and Rao's pseudo-maximum likelihood estimator and Mercatti's multiplicity estimator.
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