A likelihood reformulation method in non-normal random effects models.

Abstract

In this paper, we propose a practical computational method to obtain the maximum likelihood estimates (MLE) for mixed models with non-normal random effects. By simply multiplying and dividing a standard normal density, we reformulate the likelihood conditional on the non-normal random effects to that conditional on the normal random effects. Gaussian… (More)

Cite this paper

@article{Liu2008ALR, title={A likelihood reformulation method in non-normal random effects models.}, author={Lei Liu and Zhangsheng Yu}, journal={Statistics in medicine}, year={2008}, volume={27 16}, pages={3105-24} }