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Generalized Score Test of Homogeneity Based on Correlated Random Effects Models
Author(s) -
Commenges D.,
JacqminGadda H.
Publication year - 1997
Publication title -
journal of the royal statistical society: series b (statistical methodology)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.523
H-Index - 137
eISSN - 1467-9868
pISSN - 1369-7412
DOI - 10.1111/1467-9868.00061
Subject(s) - overdispersion , homogeneity (statistics) , mathematics , statistic , statistics , score test , random effects model , parametric statistics , statistical hypothesis testing , score , test statistic , parametric model , econometrics , poisson distribution , medicine , count data , meta analysis
We present a family of tests based on correlated random effects models which provides a synthesis and a generalization of recent work on homogeneity testing. In these models each subject has a particular random effect, but the random effects between subjects are correlated. We derive the general form of the score statistic for testing that the random effects have a variance equal to 0. We apply this result to both parametric and semi‐parametric models. In both cases we show that under certain conditions the score statistic has an asymptotic normal distribution. We consider several applications of this theory, including overdispersion, heterogeneity between groups, spatial correlations and genetic linkage.