JSM 2005 - Toronto

Abstract #303640

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 96
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #303640
Title: Full Sample Assessment of Methods for Adjusting Weights to Compensate for Dwelling Unit Nonresponse in the Medical Expenditure Panel Survey (MEPS)
Author(s): Lap-Ming Wun and Trena M. Ezzati-Rice and Nuria Diaz-Tena*+ and Janet Greenblatt
Companies: Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality and Mathematica Policy Research, Inc. and Agency for Healthcare Research and Quality
Address: P.O. Box 2393, Princeton, NJ, 08543,
Keywords: nonresponse ; logistic regression ; interaction ; weight adjustment ; bias ; propensity scores
Abstract:

The Medical Expenditure Panel Survey (MEPS) is a large, complex sample survey sponsored by the Agency for Healthcare Research and Quality (AHRQ). The sample for its core component, the Household Component (HC), is drawn from respondents to the previous year's National Health Interview Survey (NHIS). The MEPS-HC, like most sample surveys, experiences unit nonresponse. Survey nonresponse usually is compensated for by weighting adjustment to reduce the bias in survey estimates. Currently, in the MEPS, a weighting class nonresponse adjustment based on relevant covariates modeled through the Chi-squared Automatic Interaction Detector (CHAID) is used. An alternative method for nonresponse adjustment is to use response propensities calculated from logistic regression models. Investigation of these methods in the MEPS has been reported previously. This paper reports on the current investigation, which uses a more inclusive dataset with all sample units included. Potential covariates include variables from both MEPS and NHIS, with missing values for each variable treated as a category. Bias and distribution of the adjusted weights under each method of adjustment are assessed.

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