Timeline for Understanding emmeans outputs for poisson and negative binomial GLM fitted on count data with or without offset
Current License: CC BY-SA 4.0
4 events
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| Jul 31, 2023 at 16:35 | comment | added | Russ Lenth | It's reasonable to expect that removing outliers leads to more stable results. But even with the outlier removed, the two models don't produce exactly the same mean rates as you calculated "by hand." It is more complex than that. | |
| Jul 30, 2023 at 12:32 | comment | added | Isa Gre | Thank you for your explanation. I have a good understanding of how mean rates are calculated from parameter estimates. However, I was expecting that estimates would be such that both models predict the same mean rates as the observed one, but that only their standard errors would be different (which is indeed the case: due to overdispersion, the SE is underestimated for Poisson model). However, when the outlier from EH is removed, my expectation seems to be correct. It looks as if the estimated parameters are differently sensitive to the presence of outliers between the two models? | |
| Jul 28, 2023 at 18:23 | history | edited | Russ Lenth | CC BY-SA 4.0 |
Took out all the stuff about glmmTMB, that's just a distraction
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| Jul 28, 2023 at 18:13 | history | answered | Russ Lenth | CC BY-SA 4.0 |