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Blog: Hilda Bastian, "5 Tips for Understanding Data in Meta-Analyses", 2017

Discussion in 'Health News and Research unrelated to ME/CFS' started by Andy, Apr 15, 2019.

  1. Andy

    Andy Committee Member & Outreach

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    https://blogs.plos.org/absolutely-maybe/2017/07/03/5-tips-for-understanding-data-in-meta-analyses/
     
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  2. Sly Saint

    Sly Saint Senior Member (Voting Rights)

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    "Some studies are such whoppers that they overpower all other studies – no matter how many of them there are. I call them Hulks. Hulks might never be challenged, just because of their sheer size – no one will do another study like it again. Which is great when they provide a definitive answer. But not so great when they might not be representative."
     
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  3. chrisb

    chrisb Senior Member (Voting Rights)

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    I think we must assume that the author is familiar with all uses of the term "whopper".
     
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  4. Jonathan Edwards

    Jonathan Edwards Senior Member (Voting Rights)

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    Indeed. And it reminds me of the ironic fact that the bigger the study the more likely systematic bias will generate a statistically significant result.
     
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  5. Barry

    Barry Senior Member (Voting Rights)

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    I would think it must be incredibly easy to think you are comparing like with like when you may well not be. Or to convince yourself they are close enough.
     

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