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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...
Tallennettuna:
| Julkaisussa: | BMC Med Res Methodol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6419428/ https://ncbi.nlm.nih.gov/pubmed/30871571 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-019-0700-5 |
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