Objective: To assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort.
Data Sources/study Setting: Electronic health record data from 30 pediatric practices with known race/ethnicity.
Study Design: In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. Bias was introduced by nonrandomly setting race/ethnicity to missing. We compared typical methods for handling missing race/ethnicity (multiple imputation alone with clinical factors, complete case analysis, indicator variables) to multiple imputation incorporating surname and address information.
Principal Findings: Imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes.
Conclusions: The new method reduces bias when race/ethnicity is partially, nonrandomly missing.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545341 | PMC |
| http://dx.doi.org/10.1111/1475-6773.12295 | DOI Listing |
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