BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
fengyuwuzu
Pyrite | Level 9

I have 4 treatment arms, and arm 1 is the active treatment group, and arms 2, 3 and 4 are three control groups. 

How to get Hazard Ratios and 95% CIs of Arm1 vs Arm2, Arm1 vs Arm3, and Arm1 vs Arm4?

 

using the code below (Ref='1') I can get HR of Arm2 vs Arm1, Arm3 vs Arm1 and Arm4 vs Arm1, and the 95% CIs.

To convert to HR of Arm1 vs the others, I can take Reciprocal of the original HRs, but how to get the 95% CI of the Reciprocal? 

ods listing close;
ods output  ParameterEstimates  =__str_ParameterEstimates0 
            GlobalTests         =__str_GlobalTests0;
proc phreg data=endpoint;
    class ARM (ref='1');
    strata Agegrn ;
    model aval * cnsr(1) = ARM / risklimits;
quit;
ods output close;
ods listing;
1 ACCEPTED SOLUTION

Accepted Solutions
fengyuwuzu
Pyrite | Level 9

I figured it out, by using 

hazardratio 'Group comparisons ' ARM / diff=all;

View solution in original post

5 REPLIES 5
fengyuwuzu
Pyrite | Level 9

I figured it out, by using 

hazardratio 'Group comparisons ' ARM / diff=all;
Reeza
Super User

You may also want to set PARAM=REF on your CLASS statement. 

Review the design matrix (top of the SAS output) to ensure it's what you're expected. Otherwise you'll likely interpret your parameters incorrectly, and/or your next question will be why are the ratios from the parameter estimates different than the ones from HazardRatio statement. 

fengyuwuzu
Pyrite | Level 9

Thank you Reeza. 

I have compared the output using Hazardratio statement and the one I got before, so I know I got the right numbers. 

I will also look at the PARAM=REF option. Thanks.

Reeza
Super User

The hazard ratio will be correct, the parameter estimate may not be what you expect however.

fengyuwuzu
Pyrite | Level 9

Oh, I did not realize that. So, is the code below right? Do I need to use the contrast statement ?

 

ods listing close;
ods output  ParameterEstimates  =__str_ParameterEstimates0 
            GlobalTests         =__str_GlobalTests0;
proc phreg data=endpoint;
    class ARM (ref='1')  / param=ref;
    strata Agegrn ;
    model aval * cnsr(1) = ARM / risklimits;
quit;
ods output close;
ods listing;

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 5 replies
  • 1823 views
  • 0 likes
  • 2 in conversation