论文信息 - A note on the sensitivity to assumptions of a generalized linear mixed model

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

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.

D. Cox | M. Wong

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