Does anybody know why offset in a Poisson regression is used? What do you achieve by this?
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Here is an example of application.
Poisson regression is typically used to model count data. But, sometimes, it is more relevant to model rates instead of counts. This is relevant when, e.g., individuals are not followed the same amount of time. For example, six cases over 1 year should not amount to the same as six cases over 10 years. So, instead of having
$$\log \mu_x = \beta_0 + \beta_1 x$$
(where $\mu_x$ is the expected count for those with covariate $x$), you have
$$\log \tfrac{\mu_x}{t_x} = \beta'_0 + \beta'_1 x$$
(where $t_x$ is the exposure time for those with covariate $x$). Now, the last equation could be rewritten
$$\log \mu_x = \log t_x + \beta'_0 + \beta'_1 x$$
and $\log t_x$ plays the role of an offset.
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dicentricdata set from thefarawaypackage – Ben Bolker Jul 10 '20 at 20:34