National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models

National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models

Source :

• Sexually Transmitted Infections [ 1368-4973 ] ; 2012-12.

Descripteurs français

• Wicri :
  • geographic : Mali, Zambie.
  • topic : Santé publique.

English descriptors

• KwdEn :
  • Aids estimates, Aids relief, Antiretroviral treatment, Blood samples, Cape town, Consent regression, Contact regression, Contact regressions, Conventional estimates, Conventional imputation, Conventional imputation approach, Correlation parameter, Cote mali, Democratic republic, Emergency plan, Exclusion restriction, Extreme bounds, Final reports, Funding support, Global health, Global report, Harvard school, Health surveys, Household questionnaire, Imputation, Individual interview, Individual questionnaire, Interviewer, Interviewer identity, Large adjustment, Longitudinal study, Mali, Many countries, Modelling, More emphasis, National aids, National institute, National surveys, Online, Parametric model, Parametric simulation approach, Past year, Prevalence, Prevalence estimate, Prevalence estimates, Probit, Projection package, Public health, Refusal bias, Regression, Regression parameter uncertainty, Representative surveys, Sampling distribution, Sampling uncertainty, Selection bias, Selection equation, Selection model, Selection model approach, Selection model correlation parameter, Selection model estimates, Selection model point estimates, Selection models, Selection variables, Sensitivity analysis, Separate regressions, Several cases, Several countries, Sexual behaviour, Standard errors, Statistical analyses, Surveillance data, Survey interviewer, Survey reports, Test results, Testing participation, Testing surveys, Transm, Unaids, Unaids estimation, Unaids report, Unobserved factors, Zambia.
• Teeft :
  • Aids estimates, Aids relief, Antiretroviral treatment, Blood samples, Cape town, Consent regression, Contact regression, Contact regressions, Conventional estimates, Conventional imputation, Conventional imputation approach, Correlation parameter, Cote mali, Democratic republic, Emergency plan, Exclusion restriction, Extreme bounds, Final reports, Funding support, Global health, Global report, Harvard school, Health surveys, Household questionnaire, Imputation, Individual interview, Individual questionnaire, Interviewer, Interviewer identity, Large adjustment, Longitudinal study, Mali, Many countries, Modelling, More emphasis, National aids, National institute, National surveys, Online, Parametric model, Parametric simulation approach, Past year, Prevalence, Prevalence estimate, Prevalence estimates, Probit, Projection package, Public health, Refusal bias, Regression, Regression parameter uncertainty, Representative surveys, Sampling distribution, Sampling uncertainty, Selection bias, Selection equation, Selection model, Selection model approach, Selection model correlation parameter, Selection model estimates, Selection model point estimates, Selection models, Selection variables, Sensitivity analysis, Separate regressions, Several cases, Several countries, Sexual behaviour, Standard errors, Statistical analyses, Surveillance data, Survey interviewer, Survey reports, Test results, Testing participation, Testing surveys, Transm, Unaids, Unaids estimation, Unaids report, Unobserved factors, Zambia.

Abstract

• https://api.istex.fr/document/72CE95E1489C62E2B031E273FB0DCA69C36E950C/fulltext/pdf

Affiliations:

• Afrique du Sud, France, États-Unis
• Massachusetts, Midi-Pyrénées, Occitanie (région administrative)
• Cambridge (Massachusetts), Toulouse
• Université Harvard

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