JSM 2005 Online Program

Abstract #303484

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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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 - #303484
Title:	Investigation of Random Effects Models for Time-varying Variables with Missing Values in the Medical Expenditure Panel Survey
Author(s):	Robert M. Baskin*+ and Sourish Saha and John Fleishman
Companies:	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, 20850, United States
Keywords:	Bayesian models ; hierarchical models ; missing at random ; complex survey ; panel design
Abstract:	The Medical Expenditure Panel Survey (MEPS), a national probability sample survey sponsored by the Agency for Healthcare Research and Quality (AHRQ), 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. MEPS is a complex survey with a panel design. There is interest in using the longitudinal aspect of MEPS to estimate time trends, but there are difficulties in incorporating the complex design with typical multilevel or hierarchical models used in this type of longitudinal analysis, especially in the presence of drop-out missingness. The current work investigates the use of random effects models in this situation to model a health status variable over five panels with recurring respondents and account for the dependencies of both repeated measures and dependent selection.

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