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Could somebody explain the concept of exposure in the context of Poisson regression and how it relates to the expected value of a Poisson distributed response?

lalessandro
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    The motivating examples at the relevant Wikipedia page seems like a good place to start; e.g. consider the tree example where (impact of covariates being equal) different counts of trees would be expected if you looked at a large area or a small one. Could you identify where the examples and subsequent discussion are unclear or what you need beyond that? – Glen_b Jun 11 '19 at 22:43
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    Also see this question: https://stats.stackexchange.com/questions/272621/difference-between-offset-and-exposure-in-poisson-regression – Glen_b Jun 11 '19 at 22:48
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    Another answer here. – dimitriy Jun 12 '19 at 00:38

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