The seroprevalence data for India, thus far, is extremely problematic (very biased samples). But that was just one example - Algeria is increasing in deaths and cases. Comparing them to France, which is stable, on deaths/mil makes no sense
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Replying to @GidMK @c19analysis
Also, a very simple question that HAS to be answered for the analysis to mean anything: what proportion of people in each country actually got HCQ? Simple question. Without it, the HCQ vs non-HCQ groups mean nothing
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Replying to @c19analysis
Lol, no you didn't. You cannot answer it, which is yet another fundamental issue. If you don't know whether someone in Algeria was more likely to get HCQ than France - and CAN PUT A NUMBER TO THAT LIKELIHOOD - then the treatment groups are meaningless
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Replying to @GidMK @c19analysis
And As I said in the thread, any treatment ~could~ be useful, but we now have numerous large trials demonstrating that HCQ is unlikely to be of any benefit
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Replying to @c19analysis
No it doesn't. Collating self-selected studies on a website says nothing whatsoever about science. A numerically large number of bad studies is as meaningless as a numerically small number unfortunately
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Replying to @c19analysis
Oh, lol, just realized what you've done. Studies that found no benefit are classified as 'inconclusive' based on a selective re-reading of the results. Quite funny, that
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No benefit for HCQ PEP: https://www.medrxiv.org/content/10.1101/2020.07.20.20157651v1 … The explanation on that website is a complete misunderstanding of the results, which were null and should be presented as negative in this context
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Replying to @c19analysis
The null hypothesis is that HCQ doesn't reduce COVID-19 infection, and appears very likely to be true based on these results
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End of conversation
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