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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. This Tweet is unavailable.
    2. Umbereen S. Nehal, MD, MPH‏ @usnehal 31 May 2018
      Replying to @BenMazer @medicalaxioms

      It’s also not significant. P=0.07 But do you mean you get a much better sense of how huge the range, rather then thinking “approaching significant)?

      1 reply 0 retweets 0 likes
    3. This Tweet is unavailable.
    4. Umbereen S. Nehal, MD, MPH‏ @usnehal 31 May 2018
      Replying to @BenMazer @medicalaxioms

      Sure. If your goal is to educate on Twitter or on #MedTwitter (audience likely more aware of biostats), to address the non-significant p-value. 3 vs 10 point estimate But not significant So CI of 0.92 to 12.52 makes sense There had to be overlap The CI is not surprising

      1 reply 0 retweets 0 likes
    5. Umbereen S. Nehal, MD, MPH‏ @usnehal 31 May 2018
      Replying to @usnehal @BenMazer @medicalaxioms

      From the same paper, this really makes your point. “Parenchymal hemorrhage type 2 occurred more frequently in the alteplase group (4.0%) than in the placebo group (0.4%; adjusted odds ratio, 10.46; 95% CI, 1.32 to 82.77; P=0.03).” Now that is dramatic!

      1 reply 2 retweets 2 likes
    6. Umbereen S. Nehal, MD, MPH‏ @usnehal 31 May 2018
      Replying to @usnehal @BenMazer @medicalaxioms

      To further clarify your CI point from the paper you posted: P=0.03 And odds ratio of 10.46 Seems impressive Until you see the 95% CI of 1.32 to 82.77 Point estimate of 4 is very different from 82.77 Despite “significant result” Is it: 0.4 vs 1.32? 0.4 vs 82.77? CI matters

      2 replies 4 retweets 5 likes
    7. Umbereen S. Nehal, MD, MPH‏ @usnehal 31 May 2018
      Replying to @usnehal @BenMazer @medicalaxioms

      Thanks for the discussion, @BenMazer Definitely an important point Relevant to the #RightToTry “Significant result” can sound impressive But what effect size? For what side effects? What cost? Will families bankrupt themselves? Medical bills already #1 cause of bankruptcy

      0 replies 0 retweets 2 likes
    8. This Tweet is unavailable.
      Health Nerd‏Verified account @GidMK 31 May 2018
      Replying to @BenMazer @usnehal @medicalaxioms

      And that's not even getting into odds ratios and how they can mislead!

      10:26 PM - 31 May 2018
      • 2 Likes
      • J. H. Steuernagle, MD Umbereen S. Nehal, MD, MPH
      1 reply 0 retweets 2 likes
        1. New conversation
        2. Umbereen S. Nehal, MD, MPH‏ @usnehal 1 Jun 2018
          Replying to @GidMK @BenMazer @medicalaxioms

          Yes, true. Well most of our analyses assume linearity, which is not how data behave. Many assumptions.

          1 reply 0 retweets 1 like
        3. Umbereen S. Nehal, MD, MPH‏ @usnehal 1 Jun 2018
          Replying to @usnehal @GidMK and

          On flaws of odds ratio in assessing tests for disease “The authors illustrate that a single measure of association such as an odds ratio does not meaningfully describe a marker's ability to classify subjects.” https://www.ncbi.nlm.nih.gov/m/pubmed/15105181/ …

          1 reply 1 retweet 3 likes
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