JSM 2004 - Toronto

Abstract #300976

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Activity Number: 229
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #300976
Title: Imputation Variance Estimation by Bootstrap Method for the National Ambulatory Medical Care Survey
Author(s): Yan Li*+ and Carrie Lynch and Iris Shimizu
Companies: National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics
Address: 3311 Toledo Rd., Room 3206, Hyattsville, MD, 20782,
Keywords: complex sample survey ; imputation ; variance ; bootstrap
Abstract:

The National Ambulatory Medical Care Survey (NAMCS) is a three-stage, stratified, cluster sample survey of visits to office-based physicians in the U.S. The NAMCS measures the utilization of ambulatory medical care services across various types of physicians. Four variables in the current NAMCS public use files are imputed when item nonresponse occurs. The variable "time spent with physician" is imputed using a hot-deck procedure, and the variables sex, race, and age are imputed using a cold-deck procedure. Variance approximations for estimates involving the imputed variables should account for the variation due to imputation. This paper discusses a bootstrap method that was used to assess the magnitude of imputation variance for the 2000 NAMCS and the results.

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