Jennifer R. Rammon, MS
National Center for Health Statistics, Centers for Disease Control and Prevention
Jennifer D. Parker, PhD
National Center for Health Statistics, Centers for Disease Control and Prevention
593 – Multiple Imputation for Complex Health Survey Data
Multiple Imputation to Enhance the CMS-Medicaid Linked Data
Jennifer R. Rammon, MS
National Center for Health Statistics, Centers for Disease Control and Prevention
Yulei He
National Center for Health Statistics, Centers for Disease Control and Prevention
Jennifer D. Parker, PhD
National Center for Health Statistics, Centers for Disease Control and Prevention
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. As not all survey participants provide sufficient information to be eligible for record linkage, linked data often includes fewer records than the original survey data. This project presents an application of multiple imputation (MI) for handling missing Medicaid status due to linkage refusals in linked NHANES-Medicaid data using linkages of 1999-2004 NHANES survey years. By examining multiple outcomes and subgroups among children, the analyses compares the utility of a multi-purpose dataset from a single MI model to that of individualized models. Outcomes examined here include obesity, untreated dental caries, attention deficit hyperactivity disorder (ADHD), and exposure to second hand smoke.