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Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data
In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the cause-specific mortality fraction (CSMF) for populations. Post-mortem autopsies, considered the gold standard for COD ass...
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| Publicado no: | J R Stat Soc Ser C Appl Stat |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8320757/ https://ncbi.nlm.nih.gov/pubmed/34334826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12468 |
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