A note on the sensitivity to assumptions of a generalized linear mixed model

D. R. Cox and M. Y. Wong

Biometrika, 2010, vol. 97, issue 1, 209-214

Abstract: A simple case of Poisson regression is used to study the potential gain in efficiency from using a mixed model representation. Possible systematic errors arising from misspecification of the random terms in the model are examined. It is shown in particular that for a special but realistic problem, appreciable bias may arise from misspecification of a random component. Copyright 2010, Oxford University Press.

Date: 2010
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