The first large, well-done RCT on ivermectin for mild COVID-19 has been published, and has found no benefit for the drug https://jamanetwork.com/journals/jama/fullarticle/2777389 …pic.twitter.com/tCNpFrLHss
Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him
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The first large, well-done RCT on ivermectin for mild COVID-19 has been published, and has found no benefit for the drug https://jamanetwork.com/journals/jama/fullarticle/2777389 …pic.twitter.com/tCNpFrLHss
Also, this was a beautiful thing to see while reading the study. "We made a mistake at the start so we fixed it but here's all the data so you can tell for yourself" is absolutely the right thing to do when reporting on your trial outcomes!pic.twitter.com/ItrOkSgisA
I suspect when I do a formal risk of bias score for the study it will come out looking fantastic simply from this one thing. Researchers who are entirely open about their methods are the ones who publish the best studies!
You are not afraid that revealing this Achilles heel of yours can be exploited by disinformers, aiming either merely to win your approval by faking transparency, or even to discredit you for approving a strawman(!) study that they subsequently butcher completely? 
You basically announce that you not only endorse openness, but are biased in favor of studies that appear to be open. Thus, faking openness, e.g. by being selectively open about some mistakes, will be a natural (if cynical) approach to getting you and your followers on board. 1/
I'm 100% biased in favour of open research, being transparent about methodology is one of the most important parts of a good study
I'm also biased in favour of other good research methodology. I mean, people can lie about, say, randomising participants as well but at a certain point it's quite hard to detect outright fraud
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