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Activity Number: 440
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Government Statistics Section
Abstract #319921 View Presentation
Title: Multiple Imputation Methods to Enhance the NHANES-CMS Medicaid Linked Data - Demonstrated by Examining Cotinine as a Biomarker for Second-Hand Smoke Among Children Ages 3--17
Author(s): Jennifer Rammon*
Companies: CDC
Keywords: Multiple Imputation ; Administrative Data ; Data Linkage ; NHANES ; Medicaid Children ; Cotinine
Abstract:

Data from the National Health and Nutrition Examination Survey (NHANES) have been linked to the Center for Medicare and Medicaid Services' Medicaid Enrollment and Claims Files for the survey years 1999-2004. This project examines the gains in estimate precision and quality when multiple imputation is used in conjunction with data-linkage. As not all survey participants provide sufficient information to be eligible for record linkage, multiple imputation methods estimate the Medicaid status of those who are not eligible to be linked to the administrative data. Medicaid status among children who are linkage eligible and linked to Medicaid enrollment during the month of interview determine the methods of missingness and imputation is executed using IVEware. Comparisons are drawn across the three different estimates: those made using Medicaid status from the survey interview, those made from linked data among those who are linkage eligible, and those made from linked data after imputation accounts for children who are not linkage eligible. In order to demonstrate how the method applies to the analysis of health outcomes, cotinine levels in children ages 3-17 are explored.


Authors who are presenting talks have a * after their name.

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