Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Re: How to use Parametric Survival platform or alternate technique to assess var...

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

May 3, 2019 11:40 AM
(1149 views)

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

4 REPLIES 4

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Would it be sufficient to assess the effect sizes visually in the profiler?

-- Cameron Willden

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

I think I’m starting to see why JMP removed Assess Variable Importance and the Profiler from the Parametric Survival platform. In this platform you are not predicting a response so much as you are simply fitting a non-linear function, specifically a probability distribution. For similar reasons the profiler doesn’t make sense either.

At this point I have a probability distribution that is a function of ‘n’ of my factors. What I need to do now is pick a measure of reliability for my problem and maximize it. For example, if my goal is to maximize the cycles before 5% of my samples fail, then I need maximize the inverse cumulative distribution function for p = 0.05.

Now I just need to figure out how to do that in JMP.

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

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

Learn it once, use it forever!

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

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 as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content