Model comparison of generalized linear mixed models.

  title={Model comparison of generalized linear mixed models.},
  author={X Y Song and Sik-Yum Lee},
  journal={Statistics in medicine},
  volume={25 10},
Generalized linear mixed models (GLMMs) have been widely appreciated in biological and medical research. Maximum likelihood estimation has received a great deal of attention. Comparatively, not much has been done on model comparison or hypotheses testing. In this article, we propose a path sampling procedure to compute the observed-data log-likelihood function, so that the Bayesian information criterion (BIC) can be applied to model comparison or hypothesis testing. Advantages of the proposed… CONTINUE READING

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