2008
DOI: 10.1111/j.1475-6773.2008.00854.x
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A New Method for Estimating Race/Ethnicity and Associated Disparities Where Administrative Records Lack Self‐Reported Race/Ethnicity

Abstract: Objective. To efficiently estimate race/ethnicity using administrative records to facilitate health care organizations' efforts to address disparities when self-reported race/ ethnicity data are unavailable. Data Source. Surname, geocoded residential address, and self-reported race/ethnicity from 1,973,362 enrollees of a national health plan. Study Design. We compare the accuracy of a Bayesian approach to combining surname and geocoded information to estimate race/ethnicity to two other indirect methods: a non… Show more

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Cited by 176 publications
(192 citation statements)
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“…Data on race or ethnic group were available for ∼80% of all members, and were imputed for the rest by using the Rand Bayesian Imputed Surname Geocoding algorithm. 14,17 For members with imputed values, we estimated the probability that of belonging to each of 6 racial and ethnic categories based on address and surname as of 2011.…”
Section: Settingmentioning
confidence: 99%
“…Data on race or ethnic group were available for ∼80% of all members, and were imputed for the rest by using the Rand Bayesian Imputed Surname Geocoding algorithm. 14,17 For members with imputed values, we estimated the probability that of belonging to each of 6 racial and ethnic categories based on address and surname as of 2011.…”
Section: Settingmentioning
confidence: 99%
“…To calculate P(R|S, L), we follow a well-developed health care literature and use Bayes' rule (Elliott et al 2008(Elliott et al , 2009Fiscella and Fremont 2006;Imai and Khanna 2016). 7 This approach provides us a "probabilistic prediction of individual [race or] ethnicity" (Imai and Khanna 2016: 265) for a given surname in a geographic area.…”
Section: Data and Resultsmentioning
confidence: 99%
“…They can also be related to direct observations of ethnicity or closely related identities (religious affiliation, languages, names) for a sub-sample of the entire population (Abrahamse et al, 1994;International Crisis Group, 2003, pp. 6-7,15;Elliott et al, 2008;Mateos et al, 2011).…”
Section: A Two-stage Procedures For the Estimation Of The Distributionmentioning
confidence: 99%
“…While they might help to infer the identity of individuals, the membership rate in religious communities, or the per capita consumption might vary between ethnic groups, and between municipalities: e.g., church membership might be more frequent for group A than B, and more frequent in rural than in urban municipalities. Even register data (marriage registers, death or birth registers) (Elliott et al, 2008;Mateos et al, 2011) only capture a sub-sample of the population, e.g. newly married couples, rather than the entire population, and the inclusion into this sub-sample varies between groups and municipalities.…”
Section: Introductionmentioning
confidence: 99%
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