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

  • Melanie F. Myers (Contributor)
  • Jielu Lin (Contributor)
  • Christopher Steven Marcum (Contributor)
  • Laura M. Koehly (Contributor)



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 ...
Date made availableMar 12 2019
Publisherfigshare Academic Research System

Cite this