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Activity Number:
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226
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 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 - #301229 |
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Title:
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Evaluation of Alternative Prediction Models To Oversample Low-Income Persons in the Medical Expenditure Panel Survey (MEPS)
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Author(s):
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Lap-Ming Wun*+ and Trena M. Ezzati-Rice
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Companies:
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Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality
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Address:
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540 Gaither Road, Rockville, MD, 20850,
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Keywords:
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Prediction model ; complex survey
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Abstract:
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The MEPS is designed to provide nationally representative estimates of health care use, expenditures, sources of payment, and insurance coverage for the U.S. civilian noninstitutionalized population. Each year a new panel of households is selected from households that participated in the previous year's National Health Interview Survey (NHIS). For most years, the MEPS sample includes an oversample of targeted policy relevant subpopulations which include selected minorities and households with low income. The status of individuals' income in the next year is not known at the time the sample is drawn. However, a wide range of potential predictors are available from the NHIS to inform the oversampling of households predicted to be poor. This paper reports on the modeling procedure and the results of updating the prediction model using data from the 2003 NHIS and from the 2004 MEPS.
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