Hello,
I am having trouble determining whether I should be using Cox Regression or Kaplan-Meier Survival Analysis to examine my data. I would like to examine the differences in survival between two age groups who have a certain type of cancer after adjusting both models for 7 covariates (1 of these variables is binary, 4 are categorical, and 2 are nominal).
This is my first time doing anything with survival analysis and I would appreciate guidance.
Thank you!
You need to use Cox regression (PROC PHREG) to account for the covariates in your model. The KM Survival Analysis (PROC LIFETEST) does not do any modelling.
Hi, KSharp,
Yes, I am using survival months and then censoring for my 'cause specific death' variable.
Hi
I currently read two papers about this. They compare the different approaches in example studies. I'm not sure if they totally fit to your topic, but maybe they'll be helpful.
Since you want to adjust for covariates then you should use cox proportion.
You need to use Cox regression (PROC PHREG) to account for the covariates in your model. The KM Survival Analysis (PROC LIFETEST) does not do any modelling.
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