Hello, I am constructing a model of a continuous outcome and mixed predictors using negative binomial regression due to overdispersion. However, I am having trouble figuring out how to compare my various potential models in SAS. Can I use deviance and pearson coefficient as well as the corresponding p-value to compare between different models? For example, the higher the p-value the more adequate the fit? I don't think that makes sense but just trying to think. I've read a few places that I can do cross validation but is this the only way?? Thanks for any help!
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