8000 Proportional Hazards Assumption & Multicollinearity Diagnostics · Issue #101 · sbalci/ClinicoPathJamoviModule · GitHub
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Proportional Hazards Assumption & Multicollinearity Diagnostics #101
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@sbalci

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@sbalci

Proportional Hazards Assumption:

I understand that the Cox model relies on the assumption of proportional hazards over time. Is there a way within Jamovi to check this assumption? If not, are there any recommended workarounds (e.g., exporting to R with the survival package)?

Multicollinearity Diagnostics:
In logistic regression (e.g., via the GAMLj or Regression module), we can easily check for multicollinearity using VIF (Variance Inflation Factor). However, I do not see a similar diagnostic option in the Survival module. Since multicollinearity can also affect Cox model estimates, are there any plans to implement this feature in future updates? In the meantime, would you recommend assessing multicollinearity using a separate linear model with the same predictors?

https://forum.jamovi.org/viewtopic.php?t=3993

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