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Apr 8, 2019 at 10:53 answer added NB12 timeline score: 1
Apr 6, 2019 at 9:40 vote accept user2390246
Apr 3, 2019 at 21:35 answer added kjetil b halvorsen timeline score: 2
Apr 3, 2019 at 21:22 history edited kjetil b halvorsen
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Apr 2, 2019 at 14:41 comment added Glen_b With a Poisson model, the skewness and the proportion of zeros are too high given the conditional mean (and the variance is considerably too high), but for a negative binomial there's less concern about them (it's not perfect by any means, but somewhat better). I'd caution against being overly focused on hypothesis testing of assumptions; hypothesis tests don't answer the right question, but instead give an inaccurate response to a question you already know the answer to. Such tests lead you to "fix" non problems and relax about things that matter.
Apr 2, 2019 at 13:22 comment added user2390246 @Glen_b Thanks for your comment. Are you saying that the skewness of residuals I'm seeing here is within acceptable bounds, or that there is some other problem unrelated to overdispersion that I have not yet diagnosed? (Zero-inflation seems to be marginal, according to a vuong test comparing negbin against zinb model).
Apr 2, 2019 at 11:38 comment added Glen_b Either Anscombe or deviance residuals should look closer to normal than say Pearson or working residuals (but also don't expect them to look actually normal). You are getting deviance residuals, so that's fine. You have more skewness than you'd expect from a Poisson; you're right that it's overdispersed, but an overdispersed Poisson cannot change the skewness of the residuals.) .... I think the negative binomial model should be adequate but you can always look at a zero-inflated distribution.
Apr 2, 2019 at 11:25 history asked user2390246 CC BY-SA 4.0