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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Jielu, Myers, Melanie F., Koehly, Laura M., Marcum, Christopher Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Technical Advance
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

Internet

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

Ejemplares similares