BookmarkSubscribeRSS Feed
kc
Quartz | Level 8 kc
Quartz | Level 8

I am using Fine-Gray subdistribution hazard model to analyze time to event in the presence of competing risks. But, it assumes proportional hazards for the subdistribution hazard and one of the important covariates doesn't meet this assumption. I am wondering how do I go about addressing this issue. Alternatively, to address the non-proportionality, we can use the accelerated failure time models (AFT). But, how do you adjust for competing risk in these models?

 

Any help (with code) would be greatly appreciated!

 

Thanks in advance.

 

2 REPLIES 2
kc
Quartz | Level 8 kc
Quartz | Level 8

Sorry if I am missing anything but this post/embedded links do not talk about the scenario where competing risks and non-proportionality are involved.

hackathon24-white-horiz.png

2025 SAS Hackathon: There is still time!

Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!

Register Now

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 2 replies
  • 323 views
  • 0 likes
  • 2 in conversation