04-14-2013 08:52 AM
I am trying to design a study comparing two treatments, an experimental one and a standard of care. The outcome is success / failure, however the status will be checked in various followup times, making the analysis appropriate for survival analysis.
Today I have received some new information, making the primary objective more a non-inferiority one then a superiority. I have found a paper of Jung, Kang, McCall and Blumenstein from 2007, suggesting how to calculate the required sample size. I haven't tried it just yet, but will give it a try manually soon. While thinking about this whole issue, I have realized that even if I will succeed with the sample size calculations, I have no idea how to analyze the data in the future, since I don't know how to perform a non-inferiority test when it comes to the survival analysis.
As far as I understand, if HR denotes the hazard ratio, and HR0 denotes the non-inferiority margin, the null hypothesis is H0: HR>=HR0 vs. H1: HR<HR0
This is as far as I could go. My questions are:
1. Are these the correct hypotheses ?
2. If so, how do I make such an analysis with SAS, is there a special option ? Is there a macro ? In general, is there a guideline of how to analyze non-inferiority studies with SAS ?
Thank you in advance!
06-12-2016 05:16 PM
I have the syntax question regarding non-inferiority survival design using PROC POWER or PROC SEQDESIGN. The non-inferiority margin for HR should be greater than 1 if lower hazard is better. Can SAS provide an example codes?
10-31-2017 04:08 PM
Reviving this post from 2013 and 2016 to see if anyone has any updates/suggestions.
Does anyone know if SAS can calculate a non-inferiority sample size (via a proc or macro)?