When the sample size is not large enough to find any difference between the groups (a situation of weak statistical power), the P value becomes larger, which makes researchers unable to find any differences between the groups
I get what you are saying, that’s for mathematical model, in clinical setup P > 0.05 means ‘no difference was found in the observation, but the researchers do not know whether actual differences exist or not’.
you are right with HR, that’s as good as it comes
When the sample size is not large enough to find any difference...
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