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Volumn 13, Issue 7, 2016, Pages

A methodological approach to small area estimation for the behavioral risk factor surveillance system

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RISK FACTOR SURVEILLANCE SYSTEM; EXTERNAL VALIDITY; HUMAN; MISSOURI; PREVALENCE; HEALTH SURVEY; PROCEDURES; PUBLIC HEALTH; REPRODUCIBILITY; SMALL-AREA ANALYSIS; STANDARDS; STATISTICS AND NUMERICAL DATA; UNITED STATES; VALIDATION STUDY;

EID: 84981288333     PISSN: 15451151     EISSN: 21665435     Source Type: Journal    
DOI: 10.5888/pcd13.150480     Document Type: Article
Times cited : (21)

References (19)
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    • Glanz, K.1    Bishop, D.B.2
  • 3
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    • Accessed July 21, 2015
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    • Behavioral Risk Factor Surveillance System
  • 4
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    • Behavioral Risk Factor Surveillance System
    • Accessed July 21, 2015
    • Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System. SMART: BRFSS city and county data and documentation. http://www.cdc.gov/brfss/smart/smart_data.htm. Accessed July 21, 2015.
    • SMART: BRFSS city and county data and documentation
  • 6
    • 84863887612 scopus 로고    scopus 로고
    • Using small-area estimation methods to calculate county-level prevalence of obesity in Mississippi, 2007-2009
    • Zhang Z, Zhang L, Penman A, May W. Using small-area estimation methods to calculate county-level prevalence of obesity in Mississippi, 2007-2009. Prev Chronic Dis 2011; 8(4): 1-11.
    • (2011) Prev Chronic Dis , vol.8 , Issue.4 , pp. 1-11
    • Zhang, Z.1    Zhang, L.2    Penman, A.3    May, W.4
  • 9
    • 84897441225 scopus 로고    scopus 로고
    • Multilevel regression and poststratification for small-area estimation of population health outcomes: A case study of chronic obstructive pulmonary disease prevalence using the Behavioral Risk Factor Surveillance System
    • Zhang X, Holt JB, Lu H, Wheaton AG, Ford ES, Greenlund KJ, et al. Multilevel regression and poststratification for small-area estimation of population health outcomes: a case study of chronic obstructive pulmonary disease prevalence using the Behavioral Risk Factor Surveillance System. Am J Epidemiol 2014; 179(8): 1025-33.
    • (2014) Am J Epidemiol , vol.179 , Issue.8 , pp. 1025-1033
    • Zhang, X.1    Holt, J.B.2    Lu, H.3    Wheaton, A.G.4    Ford, E.S.5    Greenlund, K.J.6
  • 10
    • 84954318452 scopus 로고    scopus 로고
    • Accessed July 21
    • Robert Wood Johnson Foundation. County health rankings and roadmaps. http://www.countyhealthrankings.org/. Accessed July 21, 2015.
    • (2015) County health rankings and roadmaps
  • 12
    • 84975871454 scopus 로고    scopus 로고
    • Accessed July 21, 2015
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    • Behavioral Risk Factor Surveillance System
  • 13
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  • 15
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    • Nielsen. SiteReports; 2013. http://www.claritas.com/sitereports/demographic-reports.jsp. Accessed July 21, 2015.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.