Non-inferiority margins: how they are chosen and how they are abused — a second dataset
Risk of bias: structured appraisal of internal validity. Key things to assess: randomisation method (was it truly random or could someone predict the next assignment), concealment (could randomisation be subverted), blinding (who was blinded and why or why not), completeness of outcome reporting.
I would rather say I do not know than round it up to an answer.
Narrowing post #27, because the general version has more than one answer.
Non-inferiority margins would be much easier to settle if anyone reported the denominator. Almost nobody reports the denominator.
Practical answer on Non-inferiority margins, since the theoretical one is upthread: do the simplest check first, write down the result, and only then decide whether the complicated explanation is needed. It usually is not.
Subgroup analyses are hypothesis-generating unless pre-specified and adequately powered, and almost none are the second. The interaction test matters more than the subgroup point estimate.
I checked the source rather than the summary, and they differ.
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