1/ I want to tackle this question head on because it needs to be discussed -- particularly in why the #LMHRstudy is needed.
I now know a number of #LMHRs with long term data that looks very encouraging. Does that prove it's a safe profile? No. This is small, selected sample..
I now know a number of #LMHRs with long term data that looks very encouraging. Does that prove it's a safe profile? No. This is small, selected sample..
https://twitter.com/AmandaZZ100/status/1377020095617191936
2/ Would a handful of #LMHRs with deleterious outcomes prove it's a dangerous profile? No -- for the same reason.
We don't which are the outliers.
As the known population of these now number in the thousands, a statistician would ask, "what the odds you *wouldn't* see both?"
We don't which are the outliers.
As the known population of these now number in the thousands, a statistician would ask, "what the odds you *wouldn't* see both?"
3/ Those supporting this profile could point to the many showcasing excellent results. Those opposed could point to the few demonstrating the opposite.
Each feeling their examples represent the central mean and others' the outliers.
Each feeling their examples represent the central mean and others' the outliers.
4/ The answer is obvious -- get them in a study.
Use a stronger, more objective means of finding the central mean than grabbing the headliners you're looking for.
Use a stronger, more objective means of finding the central mean than grabbing the headliners you're looking for.
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