Hi all,

I have been using JMP to analyse survival data (that contains right censored data), fatigue endurance data to be exact.

This data has been generated using a DOE matrix, and is investigating five independent variables.

What I would like to do is generate actual vs predicted plots with confidence intervals for the model that JMP comes up with from the parameteric survival platform.

I am new to the survival platform and dealing with data that contains censored data. We used to be able to use the fit model platform by transforming and this would give us everything we needed. However, I can't see how to do this using the parametric survival platform.

Another way that I could do it is if the parametric survival platform to save equations for the predicted values, 5 % CI and 95 % CI. Which I could then put into the graph builder to create a nice graph to put in a presentation.

Any help would be great.

Thanks