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Volumn 9, Issue 11, 2014, Pages

Validation, replication, and sensitivity testing of Heckman-type selection models to adjust estimates of HIV prevalence

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; DEMOGRAPHY; FEMALE; HEALTH SURVEY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS PREVALENCE; MALE; NONHUMAN; PREVALENCE; RURAL AREA; SELECTION BIAS; SENSITIVITY ANALYSIS; SOUTH AFRICA; VALIDATION PROCESS; VIRUS REPLICATION; ZAMBIA; ALGORITHM; HIV INFECTIONS; HUMAN IMMUNODEFICIENCY VIRUS 1; REPRODUCIBILITY; STATISTICAL MODEL;

EID: 84912117996     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0112563     Document Type: Article
Times cited : (35)

References (18)
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  • 2
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  • 3
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    • Is the magic still there? The Use of the Heckman two-step correction for selection bias in Criminology
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    • Bushway, S.1    Johnson, B.D.2    Slocum, L.A.3
  • 5
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    • Estimating models with sample selection bias: A survey
    • Vella F (1998) Estimating models with sample selection bias: a survey. The Journal of Human Resources 33: 127-169.
    • (1998) The Journal of Human Resources , vol.33 , pp. 127-169
    • Vella, F.1
  • 6
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    • Correcting HIV prevalence estimates for survey nonparticipation using Heckman-type selection models
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    • Bärnighausen, T.1    Bor, J.2    Wandira-Kazibwe, S.3    Canning, D.4
  • 8
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    • Implications of the HIV testing protocol for refusal bias in seroprevalence surveys
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    • (2009) BMC Public Health , vol.9 , pp. 163
    • Reniers, G.1    Araya, T.2    Berhane, Y.3    Davey, G.4    Sanders, E.J.5
  • 9
    • 84873030745 scopus 로고    scopus 로고
    • National HIV prevalence estimates for sub-Saharan Africa: Controlling selection bias with Heckman-type selection models
    • Hogan DR, Salomon Ja, Canning D, Hammitt JK, Zaslavsky AM, et al. (2012) National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models. Sexually Transmitted Infections 88 Suppl 2: i17-i23.
    • (2012) Sexually Transmitted Infections , vol.88 , pp. i17-i23
    • Hogan, D.R.1    Ja, S.2    Canning, D.3    Hammitt, J.K.4    Zaslavsky, A.M.5
  • 10
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    • Underestimation of hiv prevalence in surveys when some people already know their status, and ways to reduce the bias
    • Floyd S, Molesworth A, Dube A, Crampin AC, Houben R, et al. (2013) Underestimation of hiv prevalence in surveys when some people already know their status, and ways to reduce the bias. AIDS 27: 233-242.
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  • 18
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    • Adjusting for selection effects in epidemiologic studies: Why sensitivity analysis is the only "solution"
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.