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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?

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    $\begingroup$ 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? $\endgroup$ – Glen_b Jun 11 at 22:43
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    $\begingroup$ Also see this question: stats.stackexchange.com/questions/272621/… $\endgroup$ – Glen_b Jun 11 at 22:48
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    $\begingroup$ Another answer here. $\endgroup$ – Dimitriy V. Masterov Jun 12 at 0:38

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