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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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| Publicado no: | Epidemiology |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | 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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