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littleSAScat
Calcite | Level 5

Hi All.

I am conducting a survival analysis on a typical clinical dataset in sas studio: Treatment/Placebo; Event/Censored. I am going to use cox model to get a hazard ratio and I know how to do that with PROC PHREG. I am wondering if thats the only way to do it. If it is, how do people validate the value? (From my opinion, validation means different codes lead to same result)

2 REPLIES 2
Reeza
Super User

@littleSAScat wrote:

Hi All.

I am conducting a survival analysis on a typical clinical dataset in sas studio: Treatment/Placebo; Event/Censored. I am going to use cox model to get a hazard ratio and I know how to do that with PROC PHREG. I am wondering if thats the only way to do it. If it is, how do people validate the value? (From my opinion, validation means different codes lead to same result)

 

 

 

I think you're going to need to explain in further detail what you're looking for.

 

Typically I wouldn't validate the results for every single procedure I ran. But if it was my first time doing survival analysis I'd find some sample examples online or in the documentation and ensure I could replicate the results and that I understood the information. And I'm not sure I would expect 'different codes lead to the same result'. The same result should occur with the same data, but if I've changed my code and therefore my model, why would I expect the same results.

Rick_SAS
SAS Super FREQ

researchers can use the SAS/IML language to validate or extend the results of SAS procedures. There is a 1994 paper by Ying So that shows how to formulate censored data problems in PROC IML. The appendix has a complete program that you can adapt to your needs.

 

See also the SAS/IML documentation example "Survival Curve for Interval Censored Data."

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