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A Bayesian hierarchical logistic regression model of multiple informant family health histories
BACKGROUND: Family health history (FHH) inherently involves collecting proxy reports of health statuses of related family members. Traditionally, such information has been collected from a single informant. More recently, research has suggested that a multiple informant approach to collecting FHH re...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419428/ https://www.ncbi.nlm.nih.gov/pubmed/30871571 http://dx.doi.org/10.1186/s12874-019-0700-5 |