Abstract
A Poisson analysis of covariance (ANCOVA) can be called a Poisson regression with both discrete and continuous covariates. In most practical applications, Poisson models will have several covariates and of both types. To stress the similarity with the normal linear case, we only slightly alter the inferential setting. This chapter has generalized the general linear model from the normal to the Poisson case to model the effects on grouped counts of a continuous covariate. The changes involved in doing so in WinBUGS were minor, and the inclusion of further covariates is straightforward. The Poisson ANCOVA is an important intermediate step for one"s understanding of the Poisson generalized linear mixed model.
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