Variance component testing in generalised linear models with random effects
含随机效应广义线性模型中的方差分量检验
There is considerable interest in testing for overdispersion, correlation and heterogeneity across groups in biomedical studies. In this paper, we cast the problem in the framework of generalised linear models with random effects. We propose a global score test for the null hypothesis that all the variance components are zero. This test is a locally asymptotically most stringent test and is robust in the special sense that the test does not require specifying the joint…