This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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259
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 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 - #307381 |
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Title:
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Small-Area Estimation Using Geoadditive Models
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Author(s):
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Hongjian Yu*+ and Xianghang Shi
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Companies:
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University of California, Los Angeles Center for Health Policy Research and University of California, Los Angeles Center for Health Policy Research
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Address:
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10960 Wilshire Blvd., Suite 1550 , Los Angeles, CA, 90024,
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Keywords:
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Small Area Estimation ;
spatial correlation
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Abstract:
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We present an approach that Semiparametric models are applied to small area estimation. The parametric part models the characteristics associated with the outcome and the non-parametric part using radial smoothing is used in the model to take into account spatial correlation for the estimates among the adjacent areas. Census tract centroids are used in radial smoothing. The models are then applied to population data such as the census and model predictions are aggregated to the areas of interest. Bootstrapping is used to calculate the variance of the estimates.
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