Survival analysis with continous variables

[#1]

Hello!

I want to identify potential covariates that may influence my survival data (continuous abstinence). Most of my potential covariates are continuous variables. I am unsure how to run this analysis with continuous variables instead of grouping variables. Any suggestions or tips would be helpful!

Thank you!

[#2]

Hi @Pau_lina ,

There's a few areas you can explore for, just a quick question: Are you aiming for a crossing time/target that you are trying to understand when the abstinence crosses?

1. The Repeated and Destructive Degradation modules in the Reliability and Survival > Degradation module, you can put your covariates in the 'X' position. More links here.

2. Fit Curve (and Fit Curve DOE) can be used to apply pre-made models (even if they aren't DOE's) to look at the effect of your covariates.

3. The non-linear platform is more involved, as it requires you to write out a parameterized formula that you believe your system obeys (this can be pre-made in the NL platform too). 

Hope that helps, let me know if you've got questions on the specifics.

Thanks,

Ben