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GidMK's profile
Health Nerd
Health Nerd
Health Nerd
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@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. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @GidMK @K_Sheldrick

      No, there was no cherry-picking. There was an extremely forgiving set of inclusion-exclusion criteria that let in some positive and negative results, but left out almost nothing.

      2 replies 1 retweet 39 likes
    2. Health Nerd‏Verified account @GidMK Aug 27
      Replying to @EduEngineer @K_Sheldrick

      Of course there is cherry-picking throughout, it is rather boringly obvious. The anonymous authors of the website simply pick the most convenient values for their analysis so that they can have a better looking model regardless of severity etc

      1 reply 0 retweets 7 likes
    3. Health Nerd‏Verified account @GidMK Aug 27
      Replying to @GidMK @EduEngineer @K_Sheldrick

      I identified one example of this in the thread, but it's pretty much ubiquitous throughout the analysis

      2 replies 0 retweets 4 likes
    4. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @GidMK @K_Sheldrick

      Can you name the author in the example of cherry-picking? I don't see it. Which study was misplaced in the inclusion-exclusion criteria?

      1 reply 0 retweets 33 likes
    5. Health Nerd‏Verified account @GidMK Aug 27
      Replying to @EduEngineer @K_Sheldrick

      It's not the inclusion criteria, which are basically "chuck all the awful studies into one website". It's just that the authors extract only "positive" results regardless of whether studies actually showed a benefit

      2 replies 0 retweets 3 likes
    6. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @GidMK @K_Sheldrick

      You keep conflating "didn't show a benefit" with "wasn't statistically significant", but the latter doesn't make a difference in a binary p-value computation.

      2 replies 1 retweet 34 likes
    7. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @EduEngineer @GidMK @K_Sheldrick

      And your idea of "number wasn't corrected properly" means "awful study" is probably only slightly correlating in reality. I've read a 5-digit number of studies, and I find such mistakes in the majority of them, at every level of clinical quality.

      1 reply 0 retweets 32 likes
    8. Health Nerd‏Verified account @GidMK Aug 27
      Replying to @EduEngineer @K_Sheldrick

      Yes as I said there are a lot of awful studies. This one is particularly worthless tho, for a number of reasons not limited to the one that you want to ignore for some reason

      1 reply 0 retweets 1 like
    9. Rounding the Earth‏ @EduEngineer Aug 28
      Replying to @GidMK @K_Sheldrick

      I'm not ignoring it. I stated that it was worth contacting the author and figuring it out, but before that step, it's not a reason to suggest "worthless".

      2 replies 1 retweet 31 likes
    10. Health Nerd‏Verified account @GidMK Aug 28
      Replying to @EduEngineer @K_Sheldrick

      That's one element of quality. It's not even the only thing that I pointed out in this thread. Other issues are the lack of reporting of potential confounders, the inadequate control group, the lack of reporting generally, the contradictions btwn pre-reg and study...

      2 replies 0 retweets 6 likes
      Health Nerd‏Verified account @GidMK Aug 28
      Replying to @GidMK @EduEngineer @K_Sheldrick

      ... the lack of information about ethics approval, the minimal information about how control participants were selected, the minimal information about the patients etc etc etc

      12:08 AM - 28 Aug 2021
      • 3 Likes
      • Josh 🐔 Alana Updike Pro: Science, Reason, Planet HPN
      1 reply 0 retweets 3 likes
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