This paper provides an exposition on simple and complex comparisons within the framework of Poisson regression. Poisson regression is well suited for the analysis of event count outcomes. Since simple and complex comparisons with both analysis of variance (ANOVA) and multiple linear regression (MLR) are common, the similarities between Poisson regression and ANOVA and MLR are highlighted in example analyses to enhance and clarify the discussion of comparisons within Poisson regression. Although the hypothetical data used for illustration were experimental, the comparison procedures discussed may be applied directly to the analysis of nonexperimental data as well. An appendix provides retake data for the hypothetical minimum competency tests. (Contains 1 figure, 6 tables, and 43 references.) (Author/SLD)