Modelling random effect variance with double hierarchical generalized linear models

Home Forums Tools and Resources Selected reading Modelling random effect variance with double hierarchical generalized linear models

Viewing 1 post (of 1 total)
  • Author
    Posts
  • #1904
    SAGE Publishing
    Keymaster

    Modelling random effect variance with double hierarchical generalized linear models

    Lee & Noh

    Article available here

    Random-effect models are becoming increasingly popular in the analysis of data. This article explores Lee double hierarchical generalized linear models (DHGLMs) in which not only the mean but also the residual variance (overdispersion) can be further modelled as random-effect models. The authors introduce DHGLMs that allow random-effect models for both the variances of random effects and the residual variance. They show how to use this general model class for the analysis of data and discuss how to select the best fitting model using the likelihood and various model-checking plots.

Viewing 1 post (of 1 total)
  • You must be logged in to reply to this topic.