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Volumn 49, Issue 1, 2014, Pages 268-283

Using the bayesian improved surname geocoding method (BISG) to create a working classification of race and ethnicity in a diverse managed care population: A validation study

Author keywords

geocoding; health plans; imputation and indirect estimation; Race ethnicity; surname analysis

Indexed keywords

ADOLESCENT; ADULT; AFRICAN AMERICAN; AGE DISTRIBUTION; AGED; AMERICAN INDIAN; ARTICLE; ASIAN; BAYESIAN IMPROVED SURNAME GEOCODING; BAYESIAN LEARNING; CAUCASIAN; CHILD; CLASSIFICATION ALGORITHM; ETHNICITY; FEMALE; GEOGRAPHY; HEALTH CARE SYSTEM; HEALTH INSURANCE; HISPANIC; HUMAN; INFANT; MAJOR CLINICAL STUDY; MALE; MANAGED CARE ORGANIZATION; NEWBORN; PATIENT CODING; PREDICTIVE VALUE; PROBABILITY; RACE DIFFERENCE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SEX DIFFERENCE; VALIDATION STUDY;

EID: 84892825940     PISSN: 00179124     EISSN: 14756773     Source Type: Journal    
DOI: 10.1111/1475-6773.12089     Document Type: Article
Times cited : (54)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.