What Does ‘Non-Inferior to’ Really Mean?
Author(s) -
Stefano Ricci
Publication year - 2010
Publication title -
cerebrovascular diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.221
H-Index - 104
eISSN - 1421-9786
pISSN - 1015-9770
DOI - 10.1159/000312869
Subject(s) - medicine , margin (machine learning) , machine learning , computer science
As clinicians, we are frequently faced with papers stating that something is 'non-inferior' to something else. By definition, a non-inferiority trial aims to demonstrate that the test product is not worse than the comparator by more than a small pre-specified amount. This amount is known as the non-inferiority margin, or delta. Clinicians must know who has chosen the margin, and why. Only when the advantages of the trial treatment clearly overcome the amount of 'worsening' which is implicit in the concept of non-inferiority and delta can we recommend this new 'non-inferior' (or, rather, 'just a little bit worse') treatment to our patients.
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