Imputing race

Author: qcim

August undefined, 2024

Witryna1 maj 2024 · We applied a previously developed method for imputing race/ethnicity from administrative data (Medicare Bayesian Improved Surname and Geocoding 2.0) to data from a national survey where race/ethnicity was usually self-reported, but was sometimes missing. A linear mixed-effects regression model predicted the probability of self … WitrynaResearch design: We applied a previously developed method for imputing race/ethnicity from administrative data (Medicare Bayesian Improved Surname and Geocoding 2.0) …

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Witryna17 maj 2024 · We developed a logistic model to predict race/ethnicity using data from US Census and patient-level information. Model performance was tested and compared … Witryna29 lis 2024 · 3 Categorized as not falling into the groups of White, Black, Hispanic, or Asian/Pacific Islander. 4 The computer specifications are Intel (R) core i7-7500U 2.90 GHz, 16-GB RAM. 5 Georgia, like Florida, treats Hispanic as … descriptive theoretical framework

Imputation of Race and Ethnicity in Health Insurance Marketplace ...

WitrynaThe imputed race and ethnicity for nonreporters suggested that enrollees who self-reported race and ethnicity were more likely to be AANHPI or White than … Witryna21 lut 2024 · The Treasury Department is committed to imputing race and ethnicity into tax data for the purpose of ensuring that more white, Asian, and mixed-race Americans are audited based solely on their race or national origin. ... AFL has launched an investigation into the Treasury’s plans for race-based tax audits. Let’s unpack the … Witryna8 mar 2024 · We used model parameters to determine which predictors significantly impacted the odds of falling into a specific race/ethnicity category and evaluated the … descriptive thinking

Race and ethnicity data for first, middle, and last names

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Witrynausing imputation, matching, or related methods to fill missing race and ethnicity data. BOX 1 Methods for Generating and Appending Missing Race and Ethnicity Data … WitrynaImputation is a method of inferring or assigning values, or a vector of probabilities, to missing data. Individual-level data do not always include racial and/or ethnic identification data: some people decline to share their identification; some identification data may be missing at random. descriptive vs analytical survey descriptive toxicology definition

"WitrynaAdministrative race/ethnicity data were accurate as judged by comparison with self-report in adults. The Bayesian Improved Surname Geocoding method produced imputation results far better than chance assignment for the four most common race/ethnicity groups in the health system: Whites, Hispanics, Blacks, and Asians. ... " - Imputing race

Imputing race

Implications of missingness in self-reported data for estimating …

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Witryna6 lip 2024 · The fact that clinical histories are informative for imputing race and ethnicity could reflect (1) a skewed distribution of blue- and white-collar professions across racial and ethnic groups, (2) uneven accessibility and subjective importance of prophylactic health, (3) possible variation in lifestyle, such as dietary habits, and (4 ... Witryna9 sie 2024 · This paper examines the association between given and family names and self-ascribed ethnicity as classified by the 2011 Census of Population for England and Wales. Using Census data in an innovative way under the new Office for National Statistics (ONS) Secure Research Service (SRS; previously the ONS Virtual …

Witryna26 sie 2024 · We provide the largest compiled publicly available dictionaries of first, middle, and last names for the purpose of imputing race and ethnicity using, for example, Bayesian Improved Surname Geocoding (BISG). The dictionaries are based on the voter files of six Southern states that collect self-reported racial data upon voter … WitrynaPage 1 of 2. Imputing race/ethnicity – Reading List . Technical Advisory Group Meeting . May 18, 2024 . Anson-Dwamena, R., Pattah , P. & Crow, J. (2024). Imputing missing race and ethnicity data in COVID-19

Witryna19 sie 2024 · Imputing Missing Race/Ethnicity Data is a Long-Established and Common Practice. Attempts to address missing data began as early as the 1950s. … Witryna3 gru 2024 · Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity Ann Haas MS, MPH, Marc N. Elliott PhD, Jacob W. Dembosky …

Witryna8 mar 2024 · Our objective was to enhance existing methods for indirectly estimating race/ethnicity in health care data by exploring ways to improve imputation accuracy with a total of 9,812,306 hospital...

Witryna26 kwi 2024 · The fact that clinical histories are informative for imputing race and ethnicity could reflect (1) a skewed distribution of blue- and white-collar professions across racial and ethnic groups, (2) uneven accessibility and subjective importance of prophylactic health, (3) possible variation in lifestyle, such as dietary habits, and (4) … descriptive thinking definitionWitryna1 kwi 2024 · The fact that clinical histories are informative for imputing race and ethnicity could reflect (1) a skewed distribution of blue- and white-collar professions across racial and ethnic groups, (2 ... ch stud depthWitryna6 lip 2024 · The task of race and ethnicity imputation can be serialized as a supervised learning problem. Typically, the goal of imputation is estimate a posterior probability distribution over plausible values for a missing variable. This distribution of plausible values can be used to generate a single imputed dataset (e.g., by choosing plausible … descriptive theory vs prescriptive theoryWitryna11 mar 2015 · The fact that clinical histories are informative for imputing race and ethnicity could reflect (1) a skewed distribution of blue- and white-collar professions across racial and ethnic groups, (2 ... descriptive vs expository writingWitrynaImputing race/ethnicity for state-level COVID-19 case counts permits calculation of more accurate incidence rates, and evaluation of racial/ethnic disparities at the state and national level. The method is illustrated with real-world data for children and adolescents aged 0-19 years in the state of California. I conclude with a discussion of ... descriptive vs normative researchWitryna8 cze 2024 · Current race imputation methods and newly developed ones were compared using area under the ROC curve statistics and racial composition estimates … ch stud dwgWitrynaNational Center for Biotechnology Information chs tube in tube splice