Timeline for Fitting a Generalized Linear Model (GLM) in R
Current License: CC BY-SA 3.0
11 events
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Oct 5, 2013 at 2:51 | comment | added | Matthew | Yes, I understand that logging a constant just generates a constant, however in the context of the fact that the only two variables in the model are exposures and since they also have the same units, the intercept in my mind could be interpreted in relation to the exposures (in this context only though), and that relation may be more obvious if you consider it as a ln(). I dunno though, I didn't write the model's equation. | |
Oct 4, 2013 at 15:09 | comment | added | gung - Reinstate Monica | An offset is a variable; that is, you have different values of the offset for different observations. An intercept is a constant; it is just a number. The log of a number is just another number, taking the log doesn't add anything meaningful; you could just as well subtract 2 from the intercept. It may help you to read my answer here. Although it's not specific to your question, it does talk a little bit about Poisson regression & may help w/ general understanding. | |
Oct 4, 2013 at 14:30 | comment | added | Matthew | Yah, the model is supposed to be that way. I think that the intercept is log'd as well because the intercept has meaning (relative to the exposure, which is also being log'd) and is probably supposed to represent an offset or something. | |
Oct 3, 2013 at 21:27 | vote | accept | Matthew | ||
Oct 3, 2013 at 20:56 | comment | added | gung - Reinstate Monica | Are you sure you want the log transforms of your RHS values? That is permissible, but would be unusual. Moreover, it doesn't make any sense to think in terms of taking the log of your intercept (ie, $\ln(\beta_1)$). | |
Oct 3, 2013 at 19:01 | history | edited | Matthew | CC BY-SA 3.0 |
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Oct 3, 2013 at 17:35 | answer | added | Jens Kouros | timeline score: 4 | |
Oct 3, 2013 at 15:58 | history | edited | whuber♦ | CC BY-SA 3.0 |
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Oct 3, 2013 at 15:42 | review | First posts | |||
Oct 3, 2013 at 16:17 | |||||
Oct 3, 2013 at 15:39 | history | edited | Nick Cox | CC BY-SA 3.0 |
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Oct 3, 2013 at 15:25 | history | asked | Matthew | CC BY-SA 3.0 |