Heuristic Algorithms for Assigning Hispanic Ethnicity

PLoS ONE

Volumn 8, Issue 2, 2013, Pages

  Boscoe, Francis P ^a   Schymura, Maria J ^a   Zhang, Xiuling ^a   Kramer, Rachel A ^a  

^a NEW YORK STATE DEPARTMENT OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; AGED; ARTICLE; CLASSIFICATION ALGORITHM; DEMOGRAPHY; ETHNICITY; FEMALE; HISPANIC; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; OUTCOME ASSESSMENT; POPULATION RESEARCH; PREDICTIVE VALUE; RACE; SELF REPORT; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ETHNIC GROUPS; FEMALE; HISPANIC AMERICANS; HUMANS; MIDDLE AGED; NEOPLASMS; NEW YORK; REGISTRIES; YOUNG ADULT;

EID: 84873537460     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0055689     Document Type: Article

References (27)

1. Bhopal R, (1997) Is research into ethnicity and health racist, unsound, or important science? BMJ 314: 1751-1756.
2. Rebbeck TR, Halbert CH, Sankar P, (2006) Genetics, epidemiology, and cancer disparities: is it black and white? Journal of Clinical Oncology 24: 2164-2169.
3. Lin SS, Kelsey JL, (2000) Use of race and ethnicity in epidemiologic research: concepts, methodological issues, and suggestions for research. Epidemiologic Reviews 22: 187-202.
4. Comstock RD, Castillo EM, Lindsay SP, (2004) Four-year review of the use of race and ethnicity in epidemiologic and public health research. American Journal of Epidemiology 159: 611-619.
5. National Research Council (2004) Eliminating health disparities: measurement and data needs. Washington, DC: National Academies Press.
6. Ma IW, Khan NA, Kang A, Zalunardo N, Palepu A, (2007) Systematic review identified suboptimal reporting and use of race/ethnicity in general medical journals. Journal of Clinical Epidemiology 60: 572-578.
7. Elliott MN, Fremont A, Morrison PA, Pantoja P, Lurie N, (2008) A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity. Health Services Research 43: 1722-1736.
8. North American Association of Central Cancer Registries (2012) CINA Deluxe Analytic File. Available: http://www.naaccr.org/Research/CINADeluxe.aspx. Accessed 2012 May 1.
9. Andrews RM, (2011) Race and ethnicity reporting in statewide hospital data: progress and future challenges in a key resource for local and state monitoring of health disparities. Journal of Public Health Management and Practice 17: 167-173.
10. Stroupe KT, Tarlov E, Zhang QY, Haywood T, Owens A, et al. (2010) Use of Medicare and DOD data for improving VA race data quality. Journal of Rehabilitation Research and Development 47: 781-795.
11. McAlpine DD, Beebe TJ, Davern M, Call KT, (2007) Agreement between self-reported and administrative race and ethnicity data among Medicaid enrollees in Minnesota. Health Services Research 42: 2373-2388.
12. NAACCR Race and Ethnicity Work Group (2010) NAACCR Asian Pacific Islander Identification Algorithm [NAPIIA v1.2.1]. Springfield, IL: North American Association of Central Cancer Registries.
13. NAACCR Race and Ethnicity Work Group (2011) NAACCR guideline for enhancing Hispanic/Latino identification: revised NAACCR Hispanic/Latino Identification Algorithm [NHIA v2.2.1]. Springfield, IL: North American Association of Central Cancer Registries.
14. Eicheldinger C, Bonito A, (2008) More accurate racial and ethnic codes for Medicare administrative data. Health Care Financing Review 29: 27-42.
15. Elliott MN, Fremont A, Morrison PA, Pantoja P, Lurie N, (2008) A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity. Health Services Research 43: 1722-1736.
16. Perkins RC (1993) Evaluating the Passel-Word Spanish surname list: 1990 decennial census post enumeration survey results. Population Division Working Paper No. 4. Washington, DC: U.S. Bureau of the Census.
17. Morgan RO, Wei II, Virnig BA, (2004) Improving identification of Hispanic males in Medicare: use of surname matching. Medical Care 42: 810-816.
18. Wei II, Virnig BA, John DA, Morgan RO, (2006) Using a Spanish surname match to improve identification of Hispanic women in Medicare administrative data. Health Services Research 41: 1469-1481.
19. Smith DP, Bradshaw BS, (2006) Rethinking the Hispanic paradox: death rates and life expectancy for US non-Hispanic white and Hispanic populations. American Journal of Public Health 96: 1686-1692.
20. Czerlinski J, Gigerenzer G, Goldstein DG (1999) How good are simple heuristics? In: Gigerenzer G, Todd PM, the ABC Research Group, editors. Simple heuristics that make us smart. New York: Oxford University Press. 97-118.
21. Cook EF, Goldman L, (1984) Empiric comparison of multivariate analytic techniques: advantages and disadvantages of recursive partitioning analysis. Journal of Chronic Diseases 37: 721-731.
22. Gigerenzer G, Goldstein DG (1999) Betting on one good reason: the Take the Best heuristic. In: Gigerenzer G, Todd PM, the ABC Research Group, editors. Simple heuristics that make us smart. New York: Oxford University Press. 75-95.
23. Thornton M, O'Connor L, editors (2009) Standards for cancer registries, volume II: data standards and data dictionary, record layout version 12, fourteenth edition. Springfield, IL: North American Association of Central Cancer Registries.
24. Word DL, Coleman CD, Nunziata R, Kominski R (2007) Frequently occurring surnames from Census 2000. Washington, DC: U.S. Bureau of the Census.
25. Hawkins DM, (2004) The problem of overfitting. Journal of Chemical Information and Computer Sciences 44: 1-12.
26. Passel J, Taylor P (2009) Who's Hispanic? Washington, DC: Pew Hispanic Center. Available: http://www.pewhispanic.org/files/reports/111.pdf. Accessed 2012 May 1.
27. Marrow H, (2003) To be or not to be (Hispanic or Latino): Brazilian racial and ethnic identity in the United States. Ethnicities 3: 427-464.