Skip to content
By using Twitter’s services you agree to our Cookies Use. We and our partners operate globally and use cookies, including for analytics, personalisation, and ads.
  • Home Home Home, current page.
  • About

Saved searches

  • Remove
  • In this conversation
    Verified accountProtected Tweets @
Suggested users
  • Verified accountProtected Tweets @
  • Verified accountProtected Tweets @
  • Language: English
    • Bahasa Indonesia
    • Bahasa Melayu
    • Català
    • Čeština
    • Dansk
    • Deutsch
    • English UK
    • Español
    • Filipino
    • Français
    • Hrvatski
    • Italiano
    • Magyar
    • Nederlands
    • Norsk
    • Polski
    • Português
    • Română
    • Slovenčina
    • Suomi
    • Svenska
    • Tiếng Việt
    • Türkçe
    • Ελληνικά
    • Български език
    • Русский
    • Српски
    • Українська мова
    • עִבְרִית
    • العربية
    • فارسی
    • मराठी
    • हिन्दी
    • বাংলা
    • ગુજરાતી
    • தமிழ்
    • ಕನ್ನಡ
    • ภาษาไทย
    • 한국어
    • 日本語
    • 简体中文
    • 繁體中文
  • Have an account? Log in
    Have an account?
    · Forgot password?

    New to Twitter?
    Sign up
GidMK's profile
Health Nerd
Health Nerd
Health Nerd
Verified account
@GidMK

Tweets

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

Tweets

  • © 2021 Twitter
  • About
  • Help Center
  • Terms
  • Privacy policy
  • Cookies
  • Ads info
Dismiss
Previous
Next

Go to a person's profile

Saved searches

  • Remove
  • In this conversation
    Verified accountProtected Tweets @
Suggested users
  • Verified accountProtected Tweets @
  • Verified accountProtected Tweets @

Promote this Tweet

Block

  • Tweet with a location

    You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more

    Your lists

    Create a new list


    Under 100 characters, optional

    Privacy

    Copy link to Tweet

    Embed this Tweet

    Embed this Video

    Add this Tweet to your website by copying the code below. Learn more

    Add this video to your website by copying the code below. Learn more

    Hmm, there was a problem reaching the server.

    By embedding Twitter content in your website or app, you are agreeing to the Twitter Developer Agreement and Developer Policy.

    Preview

    Why you're seeing this ad

    Log in to Twitter

    · Forgot password?
    Don't have an account? Sign up »

    Sign up for Twitter

    Not on Twitter? Sign up, tune into the things you care about, and get updates as they happen.

    Sign up
    Have an account? Log in »

    Two-way (sending and receiving) short codes:

    Country Code For customers of
    United States 40404 (any)
    Canada 21212 (any)
    United Kingdom 86444 Vodafone, Orange, 3, O2
    Brazil 40404 Nextel, TIM
    Haiti 40404 Digicel, Voila
    Ireland 51210 Vodafone, O2
    India 53000 Bharti Airtel, Videocon, Reliance
    Indonesia 89887 AXIS, 3, Telkomsel, Indosat, XL Axiata
    Italy 4880804 Wind
    3424486444 Vodafone
    » See SMS short codes for other countries

    Confirmation

     

    Welcome home!

    This timeline is where you’ll spend most of your time, getting instant updates about what matters to you.

    Tweets not working for you?

    Hover over the profile pic and click the Following button to unfollow any account.

    Say a lot with a little

    When you see a Tweet you love, tap the heart — it lets the person who wrote it know you shared the love.

    Spread the word

    The fastest way to share someone else’s Tweet with your followers is with a Retweet. Tap the icon to send it instantly.

    Join the conversation

    Add your thoughts about any Tweet with a Reply. Find a topic you’re passionate about, and jump right in.

    Learn the latest

    Get instant insight into what people are talking about now.

    Get more of what you love

    Follow more accounts to get instant updates about topics you care about.

    Find what's happening

    See the latest conversations about any topic instantly.

    Never miss a Moment

    Catch up instantly on the best stories happening as they unfold.

    1. Health Nerd‏Verified account @GidMK 27 May 2019
      Replying to @DaveKeto @ethanjweiss and

      The obvious answer would be survivorship bias of some description. People who survive to 100 are weird in many ways!

      1 reply 0 retweets 3 likes
    2. Dave Feldman‏ @DaveKeto 27 May 2019
      Replying to @GidMK @ethanjweiss and

      ... and yet, they are surprising near uniform in the triad thus far. I’m excited to see upcoming centenarians and how much/little we see this phenomenon continue.

      1 reply 0 retweets 0 likes
    3. Health Nerd‏Verified account @GidMK 27 May 2019
      Replying to @DaveKeto @ethanjweiss and

      Why?

      1 reply 0 retweets 1 like
    4. Dave Feldman‏ @DaveKeto 27 May 2019
      Replying to @GidMK @ethanjweiss and

      I want to see how common the triad is in centenarians (High LDL, high HDL, low TG) when tested a decade and a half earlier.

      1 reply 0 retweets 0 likes
    5. Health Nerd‏Verified account @GidMK 27 May 2019
      Replying to @DaveKeto @ethanjweiss and

      But you'd still be seeing survivorship bias there. You're seeing the people who, for whatever reason, can be in that state and live for a long time. Doesn't say much about the rest of the population imo

      1 reply 0 retweets 0 likes
    6. Dave Feldman‏ @DaveKeto 27 May 2019
      Replying to @GidMK @ethanjweiss and

      Survivorship bias makes sense if we were testing these 100/101 year olds a year earlier. But I'm emphasizing these markers (high LDL, high HDL, low TG) were taken 15 years earlier when they were age 84/85. The other 118 of those 84/85 taken at that time are not centenarians.

      1 reply 0 retweets 1 like
    7. Health Nerd‏Verified account @GidMK 27 May 2019
      Replying to @DaveKeto @ethanjweiss and

      Well, the sample size is still tiny. But even so, the case-control you're suggesting would definitely be open to survivorship bias, because you're selecting people who have lived a very long time. More appropriate to start at, say 50, and see how many make it to 100

      2 replies 0 retweets 2 likes
    8. Dave Feldman‏ @DaveKeto 27 May 2019
      Replying to @GidMK @ethanjweiss and

      Technically, the sample size is 124 of those 84/85 in the NHANES dataset. The five are the ones who have categorically survived to 100 and are still alive at last check.

      1 reply 0 retweets 0 likes
    9. Health Nerd‏Verified account @GidMK 27 May 2019
      Replying to @DaveKeto @ethanjweiss and

      Mmmm but for this kind of study 124 is still far too few. You'd want at least that many cases, and then link to 2-3x as many matched controls. Even then, it's going to be biased, but at least you'd be able to make some statistical comparisons

      1 reply 0 retweets 1 like
    10. Dave Feldman‏ @DaveKeto 27 May 2019
      Replying to @GidMK @ethanjweiss and

      I don’t disagree. But as an epi guy, you know what it means when correlations are running counter to expectations of a given hypothesis of causality. If we’re seeing more and more people who test decades earlier with the triad showing greater longevity, this would be powerful.

      1 reply 0 retweets 0 likes
      Health Nerd‏Verified account @GidMK 27 May 2019
      Replying to @DaveKeto @ethanjweiss and

      Not necessarily. I mean, firstly, depends on what you mean by "more and more". Another 5 would be an interesting statistical blip, another 100 might be worth investigating

      4:05 PM - 27 May 2019
      • 1 Like
      • Dave Feldman
      1 reply 0 retweets 1 like
        1. New conversation
        2. Dave Feldman‏ @DaveKeto 27 May 2019
          Replying to @GidMK @ethanjweiss and

          Can I clarify? -- If both numbers doubled, which is to say we had 248 of which 10 survived to age 100 or more, and the vast majority of them had high LDL, high HDL, and low TG from a decade and a half earlier, you'd consider that a statistical blip?

          1 reply 0 retweets 0 likes
        3. Health Nerd‏Verified account @GidMK 27 May 2019
          Replying to @DaveKeto @ethanjweiss and

          Potentially. How many of the 248 had those same results? How many of them developed the results at/before age 85? What's the breakdown by gender, SES, ethnicity etc? Like I said, it depends on a lot of things!

          1 reply 0 retweets 1 like
        4. Show replies

      Loading seems to be taking a while.

      Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.

        Promoted Tweet

        false

        • © 2021 Twitter
        • About
        • Help Center
        • Terms
        • Privacy policy
        • Cookies
        • Ads info