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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. James Heathers‏ @jamesheathers 7 Jul 2020

      James Heathers Retweeted Steve Joffe

      NO CHANCEhttps://twitter.com/SteveJoffe/status/1280587235654598661 …

      James Heathers added,

      Steve Joffe @SteveJoffe
      5/ Perhaps most worrisome, the propensity score matching in Table 3 is perfect to 1 decimal place across 18 covariates considered. This strikes non-expert me as implausible; usually there are at least small residual differences. Statisticians, what think you? pic.twitter.com/yQyUOi7rHp
      Show this thread
      2 replies 0 retweets 24 likes
    2. Health Nerd‏Verified account @GidMK 7 Jul 2020
      Replying to @jamesheathers

      Health Nerd Retweeted Andrew Althouse

      I reckon no chance is a bit too strong. It's unlikely that you'd have patients who were so perfectly matched in such a small sample, but given what they've said about the model if they existed you'd expect to see pretty much thishttps://twitter.com/ADAlthousePhD/status/1280663206629978116?s=20 …

      Health Nerd added,

      Andrew Althouse @ADAlthousePhD
      Replying to @f2harrell @SteveJoffe
      Just to be clear - it is plausible (whether it was advisable is a different matter). As mentioned in other thread - since they say they matched “exactly” on the PS, it is plausible (even likely) that the pairs matched had exactly the same covariate values.
      2 replies 0 retweets 5 likes
    3. James Heathers‏ @jamesheathers 7 Jul 2020
      Replying to @GidMK

      Sorry, what enormous basket of mothers was this selected from then???

      1 reply 0 retweets 3 likes
    4. Health Nerd‏Verified account @GidMK 7 Jul 2020
      Replying to @jamesheathers

      2,500 patients total, they took a subset of the HCQ prescribed people and matched to 190 of the non-HCQ people. Depending on the software/commands, that's what you'd expect to see if they matched exactly as they described

      1 reply 0 retweets 0 likes
      Health Nerd‏Verified account @GidMK 7 Jul 2020
      Replying to @GidMK @jamesheathers

      Also, the categories they matched on were pretty broad, and might include pretty much anything (i.e. "cardiovascular complications") so might just be a case of a ridiculous propensity score that was a waste of time rather than an error

      6:39 PM - 7 Jul 2020
      1 reply 0 retweets 0 likes
        1. Health Nerd‏Verified account @GidMK 7 Jul 2020
          Replying to @GidMK @jamesheathers

          That being said, I could probably reproduce that table in my dataset of 100,000 people, with only 2,500 it becomes pretty unlikely imo

          0 replies 0 retweets 0 likes
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