Bayesian models for data missing not at random in health examination surveys

28 Aug 2017 Kopra Juho Karvanen Juha Härkänen Tommi

In epidemiological surveys, data missing not at random (MNAR) due to survey nonresponse may potentially lead to a bias in the risk factor estimates. We propose an approach based on Bayesian data augmentation and survival modelling to reduce the nonresponse bias... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Categories


  • METHODOLOGY
  • APPLICATIONS