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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. Health Nerd‏Verified account @GidMK 26 Mar 2019

      The wonderful world of nutritional epidemiology Two studies, months apart. Both looked at egg consumption. Completely opposite results What's happening here?pic.twitter.com/TdIfwaGOK5

      31 replies 171 retweets 361 likes
      Show this thread
    2. Health Nerd‏Verified account @GidMK 26 Mar 2019

      Now, there's a lot of criticism about the media reporting and content of both of these studies. @dailyzad's blog on the recent one is here https://lesslikely.com/nutrition/eggs-cholesterol/ … and I've written about the older one herehttps://medium.com/@gidmk/eggs-wont-stop-heart-attacks-and-fish-won-t-get-you-pregnant-4067bbeda48b …

      1 reply 3 retweets 19 likes
      Show this thread
    3. Health Nerd‏Verified account @GidMK 26 Mar 2019

      And while there may be issues with the studies, what I wanted to focus on today was something that is often missed in the discussion of these epi studies: generalizabilitypic.twitter.com/GmEKlcip6h

      1 reply 1 retweet 11 likes
      Show this thread
    4. Health Nerd‏Verified account @GidMK 26 Mar 2019

      Let's kick off with a question: are studies with bigger sample sizes MORE or LESS generalizable?

      2 replies 2 retweets 6 likes
      Show this thread
    5. Health Nerd‏Verified account @GidMK 26 Mar 2019

      This is important because it's a discussion I have professionally ALL THE TIME It's also something that comes up on twitter constantly

      1 reply 1 retweet 3 likes
      Show this thread
    6. Health Nerd‏Verified account @GidMK 26 Mar 2019

      The question really comes down to whether increasing the sample size of a study reduces the biases in your data collection Let me explainpic.twitter.com/NZHBBEN1wu

      3 replies 2 retweets 10 likes
      Show this thread
      Health Nerd‏Verified account @GidMK 26 Mar 2019

      An example from my own work in diabetes is looking at prevalence. We want to know how many people have diabetes, but it's very hard to test enough people in a rigorous way to be sure of our estimates

      7:30 PM - 26 Mar 2019
      • 1 Retweet
      • 10 Likes
      • Iginio Colaiori MRA Marc Casañas Escarré Fiachra Mag Uidhir Dr Siobhán Muldowney Marcus Stewart 💧 Ian "Department of Diseasology" 🍩 Musgrave xanlannan
      1 reply 1 retweet 10 likes
        1. New conversation
        2. Health Nerd‏Verified account @GidMK 26 Mar 2019

          Instead, we look at a sample of people who have been tested. Let's say we take every person who has attended one of 10 GP clinics, and look at their diabetes test results That's a reasonable number of results, say 50,000

          1 reply 1 retweet 5 likes
          Show this thread
        3. Health Nerd‏Verified account @GidMK 26 Mar 2019

          So we've got data from a group of people who have attended some GPs, and we get a figure about how many of them have diabetes Is this figure generalizable to the population (i.e. can we use it to estimate the proportion of people who actually have diabetes?)

          1 reply 2 retweets 5 likes
          Show this thread
        4. Health Nerd‏Verified account @GidMK 26 Mar 2019

          What would happen if we then added another 100 GP clinics, or 500,000 patients, to the sample? Would it be more or less generalizable?

          1 reply 1 retweet 5 likes
          Show this thread
        5. Health Nerd‏Verified account @GidMK 26 Mar 2019

          Now this is a lot easier than that first question. Collecting data from people who visit their GP clinics introduces obvious biases into the equation

          1 reply 1 retweet 8 likes
          Show this thread
        6. Health Nerd‏Verified account @GidMK 26 Mar 2019

          They are more likely to be sick, are usually older, often richer than the general population Etc etc etc GETTING MORE RESULTS DOESN'T NECESSARILY REDUCE THE IMPACT OF THESE BIASES

          2 replies 4 retweets 39 likes
          Show this thread
        7. Health Nerd‏Verified account @GidMK 26 Mar 2019

          To put it another way, our bigger sample is just as problematic as our smaller sample in key ways We've got more people, which makes the estimate more precise, but it doesn't make it more generalizable to the population

          1 reply 4 retweets 27 likes
          Show this thread
        8. Health Nerd‏Verified account @GidMK 26 Mar 2019

          In other words, we have a very good figure for how many people have diabetes in the group of people who visit their GP clinics, but NOT for the general population because of the bias in our sample!pic.twitter.com/ccbNw9ez8C

          1 reply 2 retweets 20 likes
          Show this thread
        9. Health Nerd‏Verified account @GidMK 26 Mar 2019

          Health Nerd Retweeted Health Nerd

          This brings us back to the original question The answer? Bigger sample size makes NO DIFFERENCE to generalizability. It's the QUALITY not QUANTITY of the sample (mostly)https://twitter.com/GidMK/status/1110729194680381440 …

          Health Nerd added,

          Health NerdVerified account @GidMK
          Let's kick off with a question: are studies with bigger sample sizes MORE or LESS generalizable?
          Show this thread
          3 replies 3 retweets 42 likes
          Show this thread
        10. Health Nerd‏Verified account @GidMK 26 Mar 2019

          Note: it ~can~ make a difference in smaller sample sizes. We're talking here about the difference between 1,000 and 100,000, not 10 and 100

          1 reply 1 retweet 13 likes
          Show this thread
        11. Health Nerd‏Verified account @GidMK 26 Mar 2019

          So let's go back to our original two nutritional epidemiology studies. Both were huge (n=50,000 and 500,000) BUT they had very different populationspic.twitter.com/XP7HlGlHrc

          1 reply 1 retweet 20 likes
          Show this thread
        12. Health Nerd‏Verified account @GidMK 26 Mar 2019

          The recent study looked at a group of people living in North America. The older study was on adults living in China These are very different

          1 reply 1 retweet 8 likes
          Show this thread
        13. Health Nerd‏Verified account @GidMK 26 Mar 2019

          We can't expect the results of Chinese people, even if the sample size is HUGE, to directly generalize to people living in the USA

          1 reply 2 retweets 15 likes
          Show this thread
        14. Health Nerd‏Verified account @GidMK 26 Mar 2019

          These two regions of the world have vastly different food intakes, very different cultures, and this means that egg eating has different meanings and connotations in both placespic.twitter.com/kXSP5emQIC

          2 replies 1 retweet 13 likes
          Show this thread
        15. Health Nerd‏Verified account @GidMK 26 Mar 2019

          This was actually central to the hypothesis of the Chinese study. The researchers argued that Chinese eating habits were different, and so the egg consumption should be studied to see if it was beneficial despite previous studies in other populations showing harmpic.twitter.com/Weto2IJUv1

          1 reply 1 retweet 11 likes
          Show this thread
        16. Health Nerd‏Verified account @GidMK 26 Mar 2019

          In fact, while the two studies APPEAR contradictory, it's likely that this is, in part, context-based Chinese people who eat more eggs are healthier Americans who eat more eggs are less healthy BOTH OF THESE THINGS CAN BE TRUEpic.twitter.com/x5x57XLrkG

          2 replies 5 retweets 64 likes
          Show this thread
        17. Health Nerd‏Verified account @GidMK 26 Mar 2019

          TL:DR - two studies appear contradictory (eggs good or bad?) Realistically, it's likely just the differences between the settings for the studies Bottom line, bigger studies are not always better it's more complicated than that

          3 replies 5 retweets 28 likes
          Show this thread
        18. Health Nerd‏Verified account @GidMK 26 Mar 2019

          P.s. the REASON that egg eating is associated with good or bad health is, in my opinion, more complex than either of these studies suggests

          1 reply 1 retweet 13 likes
          Show this thread
        19. Health Nerd‏Verified account @GidMK 26 Mar 2019

          My personal argument is that it's ~almost certain~ that both of these studies are using egg eating as a marker for some sort of social influence that is really causing the heart disease

          3 replies 2 retweets 41 likes
          Show this thread
        20. Health Nerd‏Verified account @GidMK 26 Mar 2019

          So people in the US who eat more eggs are probably less well off in many ways, with the inverse being true in China

          3 replies 1 retweet 50 likes
          Show this thread
        21. End of conversation

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