I am using the Nonlinear fit in JMP to fit a Nonlinear Parametric (log-normal) Survival Model. After fitting the model, I want to plot the "Quantile Profiler" and "Distribution Profiler" with confidence interval as Survial Analysis Platform does. Is there an convenient way to do that?
Out of curiosity, why do you need to use Nonlinear instead of Parametric Survival? If you are fitting a Lognormal survival model, the Parametric Survival personality of Fit Model should be able to fit the model and give you the profilers you're looking for.
Parametric Survival in JMP can handle the Weibull, Lognormal, Exponential, Frechet, or Loglogistic distributions.
Michael Crotty Sr Statistical Writer JMP Development