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GidMK's profile
Health Nerd
Health Nerd
Health Nerd
Verified account
@GidMK

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Health NerdVerified account

@GidMK

Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him

Sydney, New South Wales
theguardian.com/profile/gideon…
Joined November 2015

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    1. Health Nerd‏Verified account @GidMK Aug 12
      Replying to @jjchamie @EdoajoEric

      You seem to be suggesting that anyone who disagrees with you is either incompetent or acting in bad faith, which is a fascinating position to hold

      1 reply 0 retweets 13 likes
    2. J Chamie‏ @jjchamie Aug 12
      Replying to @GidMK @EdoajoEric

      I'm not suggesting anything about other people. I'm saying you are ignoring information, and this could be leading your POV This isn't incompetence.

      1 reply 0 retweets 5 likes
    3. Health Nerd‏Verified account @GidMK Aug 12
      Replying to @jjchamie @EdoajoEric

      What information have I ignored?

      7 replies 0 retweets 4 likes
    4. J Chamie‏ @jjchamie Aug 12
      Replying to @GidMK @EdoajoEric

      More: It's hard to believe that your are unaware of the ivermectin test in Mexico with 230k people and 76% reduction is hospitalization rate. But anyway, here it ishttps://osf.io/preprints/socarxiv/r93g4/ …

      1 reply 0 retweets 2 likes
    5. Health Nerd‏Verified account @GidMK Aug 12
      Replying to @jjchamie @EdoajoEric

      Oh yes I've read that. A very big issue with residual confounding makes it quite hard to interpret, particularly given that there are some numeric errors in the tables

      2 replies 0 retweets 4 likes
    6. J Chamie‏ @jjchamie Aug 12
      Replying to @GidMK @EdoajoEric

      A very big issue with residual confounding? Numeric errors in the tables? Can you be more specific? I think @PPMERlNO would like to check that out.

      1 reply 0 retweets 1 like
    7. Health Nerd‏Verified account @GidMK Aug 12
      Replying to @jjchamie @EdoajoEric

      Sure thing - the numeric errors are pretty simple, it looks like some people were excluded that are not reported as far as I can see in the text. The text says 77,381 and 156,468 but the values in the tables add up to 77,327 and 156,011 respectivelypic.twitter.com/dmXP5gURtW

      1 reply 0 retweets 2 likes
    8. Health Nerd‏Verified account @GidMK Aug 12
      Replying to @GidMK @jjchamie @EdoajoEric

      This also matches the percentages given - 48,511 is 31.09% of 156,011, not 156,468. Not a major issue, but should probably be corrected

      1 reply 0 retweets 2 likes
    9. Health Nerd‏Verified account @GidMK Aug 12
      Replying to @GidMK @jjchamie @EdoajoEric

      As to residual confounding - there are numerous potential differences between people who got packs and those who didn't. For one thing, I don't see any discussion of SES in the paper, which is a pretty big potential confounder

      2 replies 0 retweets 3 likes
    10. J Chamie‏ @jjchamie Aug 12
      Replying to @GidMK @EdoajoEric

      Again, you ground your mistrust in tiny impactless items. You have an enormous improvement in hospitalization (76%) and your arguments absolutely can't explain even 10% of the impact. Do you think your points would turn the results insignificant?

      1 reply 0 retweets 4 likes
      Health Nerd‏Verified account @GidMK Aug 12
      Replying to @jjchamie @EdoajoEric

      Of course - residual confounding can entirely reverse the effects of an analysis. That's a very well-demonstrated epidemiological fact https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704-ep713_confounding-em/BS704-EP713_Confounding-EM4.html …

      6:21 PM - 12 Aug 2021
      • 6 Likes
      • Main Street Biology Atomsk's Sanakan mojo🔋 webb Rotes Reudnitz Good King Elliot 🇪🇸 Balkrai 🇪🇸
      1 reply 0 retweets 6 likes
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        2. J Chamie‏ @jjchamie Aug 12
          Replying to @GidMK @EdoajoEric

          They controlled in the analysis by age and comorbidities, and looked at more than 230,000 people. The results was 76% less hospitalizations in the group with ivermectin. After the study they rolled our IVM in the country and every COVID metric improved. CFR dropped 80%

          1 reply 0 retweets 3 likes
        3. Health Nerd‏Verified account @GidMK Aug 12
          Replying to @jjchamie @EdoajoEric

          So firstly, same issue as in your analysis - it's almost certain people in Mexico were taking the drug well before these packs were handed out. Age and comorbidities were controlled for in a fairly crude way, and there's a large potential for residual confounding

          1 reply 0 retweets 4 likes
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