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Activity Number:
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373
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 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 - #306802 |
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Title:
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Evaluation of Expenditure Estimates When Including a High-Expenditure Predictor in Nonresponse Adjustments
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Author(s):
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Lap-Ming Wun and Steven B. Cohen and Trena Ezzati-Rice*+ and William Yu
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Companies:
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Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality and 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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nonresponse ; logistic regression ; weight adjustment
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Abstract:
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The MEPS is a large and complex sample survey sponsored by the Agency for Healthcare Research and Quality. The sample is drawn from respondents to the previous year's National Health Interview Survey. The MEPS, like most sample surveys, experiences unit nonresponse. Weighting adjustment is a general method to compensate for nonresponse. Nonresponse adjustments often are carried out based on relevant covariates. This paper reports on the investigation of the impact of including a high medical expenditure predictor as a covariate in the logistic model for nonresponse adjustment at the dwelling unit (DU) level. The DU nonresponse adjusted weight is carried through the post-stratification process to develop the final annual person-level weight. The impact of these modified person weights on expenditure estimates is evaluated and compared with current estimation procedures.
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