Obtaining 95% CI from predicted P (logistic)Hello,
I'm doing logistic regression in JMP 16. I would like to obtain the 95% CI around predicted P for some independent variables using the P as a measure of strength of association. I know the math to calculate the 95% CI from linear predictors but I need help pulling out the necessary information once I run the model. I can obtain the linear predictor by saving to a new column, but I also need the standard error of the linear predictor. How do I obtain that? I have done this in R but I would prefer to learn in JMP.
Thanks!
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