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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!
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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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Hi, KSharp,
Yes, I am using survival months and then censoring for my 'cause specific death' variable.
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PROC LIFETIME ........
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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.
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Since you want to adjust for covariates then you should use cox proportion.
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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.