[[“The solution is to find an optimal tradeoff between doing something now, such as prescribing a drug off-label, or waiting until traditional clinical trials are complete,”]]
There is NO trade off- you go to war with the army you have at hand- not some future army that will only be able to swoop in when the world lays reeling from the year’s long carnage—
It is stunning that this is even a question- IF we find it does no good whatsoever, then we gave it our best shot with the army we had on hand- but all indications show a strong likelihood that it is working- and working marvelously-
Debating this any further is just irresponsible and immoral at this point- use what you have now, WHILE working on further treatments if you feel you must- in the meantime, 10’s of 1000’s will benefit from the drugs that are proving to be so helpful now!-
this looks really good and SOUNDS like results will develop in real-time instead of the fake studies NIH and FDA are sponsoring that won’t have results until July or August or even six months from now ...
still, with a 12.5% chance of being in the placebo group, i would refuse to be part of the study and demand the hydroxychloroquine/zith/zinc treatment ...
plus, i still don’t see how it’s even ethical to HAVE a placebo group for a study of a treatment being successfully used worldwide ...
This is brilliant.
If you know a fair amount about formal, multivariate designed experiments, the sample sizes and sheer amounts of tests needed can be staggering. Taguci came up with methods long ago, to vastly decrease the number of trials, but required each branch to be orthogonal.
Combining it with adaptive AI to adjust each branch on the fly is genious. It should work spectacularly. If the FDA is onboard, and it sounds like they are, we’ll have optimal treatments, very likely using HCQ, perfected and endorsed by the feds.
Trump wins again. MSM will be suicidal. “Trump Cure Works!” will be headlines.
UPMC is my HMO. Pitt is my school.
Hail to Pitt!
It would appear that in late March of 2020 a builder from Queens knew more than the entire global medical establishment combined.