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Activity Number:
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341
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #309270 |
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Title:
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Minimizing Conditional Local Bias for Health Estimates from the Behavioral Risk Factor Surveillance System for U.S. Counties Contiguous to the United States-Mexico Border
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Author(s):
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Joe Fred Gonzalez, Jr.*+ and Machell Town and Jay J. Kim
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Companies:
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Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and National Center for Health Statistics
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Address:
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National Center for Health Statistics, Hyattsville, MD, 20782,
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Keywords:
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unbiased estimation ; poststratification
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Abstract:
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The Behavioral Risk Factor Surveillance System (BRFSS) is a State telephone based survey of the adult civilian non-institutionalized population residing in the United States. Consequently, the BRFSS final weights that are currently available in the data files are designed to produce unbiased estimates of socio-demographic and health characteristics at the State level. In addition to State level BRFSS estimates, there is interest in the health status of adults residing in the 25 U.S. counties contiguous to the United States-Mexico Border Region. The purpose of this paper is to apply an alternative approach for poststratification by minimizing local (cell) bias of BRFSS estimates of socio-demographic and health characteristics of adults residing in the 25 counties contiguous to the U.S.-Mexico border.
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