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cubic spline with survival data

Nov 16, 2016 1:09 PM
(2598 views)

Hi guys, i have been looking for guidance with this for sometime but nothing. I am trying to find the relationship between age and survival in a cohort. There is different follow-ups for patients, so I have to use survival analysis, with cox proportional hazard models. However, the relationship between age and survival is not linear. I want to use restricted cubic splines with this dataset. Is there an easy way to run this and visualize in JMP? I am looking for an output like this. thanks

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Re: cubic spline with survival data

Yes, you can do this in JMP:

- Select Analyze > Reliability and Survival > Fit Proportional Hazards.
- Populate the Time to Event and Censor boxes with the appropriate columns.
- Add your model effects to the lower box, including any interactions or polynomials.
- Select the model effect(s) to which you want to fit a restricted cubic spline (in your case, age). Click the red triangle next to "Attributes," and select Knotted Spline Effect (aka restricted cubic spline, Stone-Koo spline, etc.). Type in the number of knots you desire, and click OK.
- Click Run in the Model Specification dialog box.
- Click the red triangle next to Proportional Hazards Fit, and select Risk Ratios.

You can then construct a data table using the parameter estimates, risk ratios, etc. you obtained, and use that data to create graphs using JMP's Graph Builder that are similar to those you showed.

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Re: cubic spline with survival data

Thanks a lot. I got the following output from proportional hazards with 4 knots:

How do I put this in the graph builder? Thanks!