Greetings,

I am running glm models for species counts using a poisson link function.
Normal summary functions for this provide summary statistics in the form of
the deviance, AIC, and p-values for individual predictors.  I would like to
obtain the p-value for the overall model.  So far, I have been using an
analysis of deviance table to check a model against the null model with the
intercept as the only predictor.

Any advice on other methods to obtain the proper p-value would be
appreciated.

Thanks,

Pat

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