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• W2149756178 abstract "The Medical Expenditure Panel Survey (MEPS) is a complex national probability sample survey sponsored by the Agency for Healthcare Research and Quality (AHRQ). 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. The MEPS consists of three inter-related surveys with the Household Component (HC) as the core survey. The MEPS-HC, like most sample surveys, experiences unit, or total, nonresponse despite intensive efforts to maximize response rates. Survey nonresponse is usually compensated for by some form of weighting adjustment to reduce the potential bias in survey estimates. Nonresponse adjustment methods make use of covariates that are available for both respondents and nonrespondents. Currently, the tree algorithm method using the Chi-squared Automatic Interaction Detector (CHAID) is employed in MEPS to model the response probability at the dwelling unit (DU), i.e., household, level and to create the nonresponse adjustment cells (Cohen, DiGaetano, and Goksel, 1999). The other adjustment carried out in the development of weights in MEPS is poststratification of the nonresponse adjusted weights to known population counts, i.e., estimates of the population from the Current Population Survey (CPS). In this paper, we use logistic regression modeling to predict the probability of response using the same set of covariates currently used in CHAID. The nonresponse adjusted weights are then poststratified at the family level to match the CPS control totals. Family level survey estimates for selected survey components, standard errors, relative standard errors, and distributions of weights based on the two alternative propensity nonresponse approaches (CHAID and logistic regression) are compared and methodological issues discussed." @default.
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• W2149756178 date "2004-01-01" @default.
• W2149756178 modified "2023-09-24" @default.
• W2149756178 title "Using Propensity Scores to Adjust Weights to Compensate for Dwelling Unit Level Nonresponse in the Medical Expenditure Panel Survey" @default.
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