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On the Assumption of Bivariate Normality in Selection Models: A Copula Approach Applied to Estimating HIV Prevalence

BACKGROUND: Heckman-type selection models have been used to control HIV prevalence estimates for selection bias, when participation in HIV testing and HIV status are correlated after controlling for observed variables. These models typically rely on the strong assumption that the error terms in the...

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Bibliografski detalji
Izdano u:Epidemiology
Glavni autori: McGovern, Mark E., Bärnighausen, Till, Marra, Giampiero, Radice, Rosalba
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4726739/
https://ncbi.nlm.nih.gov/pubmed/25643102
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0000000000000218
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