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Activity Number:
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70
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #309721 |
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Title:
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Expedient Small-Area Estimation via Proportional Odds Ratio Log-Linear Models
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Author(s):
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Lei Li*+ and Paul S. Levy
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Companies:
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RTI International and RTI International
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Address:
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7008 Valerie Anne Drive, Raleigh, NC, 27613,
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Keywords:
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small area estimation ; sample survey ; health surveillence ; loglinear model ; structure preserving estimation
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Abstract:
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The synthetic methods for small area estimation are appealing due to simplicity in implementation and are suitable for categorical outcomes in situations such as public health surveillance based on sample survey data where small area estimates must be produced in a timely manner. However, they do not readily accommodate the local area characteristics. The extension of the synthetic methods to the structure-preserving estimation (SPREE) methods by Purcell and Kish opened up opportunities for incorporating local area characteristics and making use of Bayesian inference. We develop estimation procedures for SPREE via proportional odds ratio log-linear models and illustrate with data from the Behavioral Risk Factor Surveillance System and Census 2000 on employment disability in North Carolina.
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