Hello everyone,
In order to compare two clinical methods, we usually use Passing & Bablok (PABA) regression. Most of the time, our samples are larger than n=50, but for the comparison I'm interested in today (method A vs method B), the samples are small (n = 10-15).
The PABA regression validates the equivalence between the two methods (method A vs method B). Indeed, the CI intercept crosses 0 and CI slope crosses 1 :
However, I have a few points of concern about these results because :
Do you know of any criteria or rules that I could add to the analysis of PABA regression that would enable me to improve our validation method ?
Thanks in advance for your help ! :)