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I have fitted a Poisson model to my data in R which includes two factors as independent variables. Each factor has 5 levels. I have used the
contrasts = list(FactorA='contr.sum', FactorB='contr.sum')command to change the constraints of my model. So, the parameter estimates for each factor sum to 1.
My problem is that I find it very difficult to understand what exactly the p-values of the estimates mean. For instance, if the p-value for one level of
FactorA is significant, does this mean that it's generally significant for explaining the response variable or only in comparison to the other levels of the same factor?
Are the constraints that I used involved in this interpretation that I have to make for the significance of each level?
Also, I do not get any output for the last level of each factor. Is there any way to interpret those two levels?