A Bayesian hierarchical logistic regression model of multiple informant family health histories

A Bayesian hierarchical logistic regression model of multiple informant family health histories

Abstract 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 collectin...

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Bibliographic Details
Main Authors: Jielu Lin, Melanie F. Myers, Laura M. Koehly, Christopher Steven Marcum
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Medical Research Methodology
Subjects:
Family health history
Multiple informants
Bayesian statistics
Reconciliation
Online Access:http://link.springer.com/article/10.1186/s12874-019-0700-5

Internet

http://link.springer.com/article/10.1186/s12874-019-0700-5

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