An example: there was underlying selection bias that led to a 'sicker' control group (however we define sicker). Given the small sample size, the logistic model cannot adequately control for this issue, and so the results are hard to interpret
But, and this is crucial, I don't think we can take it as writ that evidence applying to RTIs, which are caused by a plethora of viruses, will be true for COVID-19. So we need evidence - GOOD evidence - or we're mostly just flying blind
-
-
Of course, this is just part of the puzzle. Please read through the summary I sent you. There is nothing remotely close to that on HCQ.
-
There are literally dozens of websites that look exactly the same for HCQ. I'm not saying that the two treatments are the same - I'm saying a lack of evidence doesn't allow for good decision-making no matter how many inconclusive studies you link to
- Show replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.