JSM 2005 - Toronto

Abstract #303476

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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 - #303476
Title: Investigation of the Impact of Imputation on Variance Estimation in the Medical Expenditure Panel Survey
Author(s): Robert M. Baskin and John Sommers and Marc W. Zodet and Trena M. Ezzati-Rice*+
Companies: 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
Address: 540 Gaither Rd, Rockville, MD, 20878,
Keywords: Rao-Shao adjustment ; hot deck ; replicated imputation ; imputation cell ; missing at random
Abstract:

The Medical Expenditure Panel Survey (MEPS), a national probability sample survey sponsored by the Agency for Healthcare Research and Quality, provides nationally representative estimates of health care use, expenditures, sources of payment, and insurance coverage for the U.S. civilian noninstitutionalized population. MEPS, as with most sample surveys, experiences unit and item nonresponse despite efforts to maximize response. At the present, a form of a weighted sequential hot-deck is used to impute missing values of health care expenditures and other variables, but it is difficult to assess the impact imputation has on the variance estimates produced from MEPS data. In 2004, a study of outpatient facility expenditures was conducted to investigate the impact of this imputation on estimates of variance for estimates of health care expenditures and other key variables that are imputed. This study updates the previous study by investigating hospital inpatient expenditures.

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Revised March 2005