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ObjectiveTo validate classification of race/ethnicity based on the Bayesian Improved Surname Geocoding method (BISG) and assess variations in validity by gender and age.
Data Sources/Study SettingSecondary data on members of Kaiser Permanente Georgia, an integrated managed care organization, through 2010.
Study DesignFor 191,494 members with self‐reported race/ethnicity, probabilities for belonging...
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