How to use Parametric Survival platform or alternate technique to assess variable importance and optimal settings?

Question

I ran a DOE to find out which manufacturing factors affect the fatigue life of a material (as well as other properties).

Since the response variable of interest is survival data with censored data, I am using the Parametric Survival platform in JMP 14 to analyze the data. The Parametric Survival platform doesn’t support the Assess Variable Importance option or a profiler as far as I can figure out.

I would like to determine which factors have the biggest influence on life and the settings that maximize life. I’m at a loss as to how do this without the Assess Variable Importance option or the profiler. Can anyone recommend the approach I should take to do this?

Thanks,

Larry

matthias_bruchh · Answer

Hi Larry,

It some time you posted this, so I'm not sure if you still follow this thread...

I'm also using JMP to assess material fatigue by means of a DOE. If you have some information to share (report, publication etc.) I would be grateful. If you are interested in some kind of exchange, please contact me.

Regards,

Matthias

LEP · Answer

The Quantile Profiler is a good solution if you have JMP Pro. I'll probably have to export the distribution equations and use an outside program.

Mark_Bailey · Answer

Use the Quantile Profiler. Set the Desirability Function to Maximize (default). Set the Probability to 0.05 and lock it. Then maximize the desirability.