The fact is that food-frequency questionnaires are flawed BUT The flaws are EQUALLY DISTRIBUTED This means that everyone answers them wrong, but in the same ways (usually underestimating calories) which makes them extremely useful for researchhttps://twitter.com/dnunan79/status/1038326067298217985 …
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So what's happened here is that the issues with our study have changed the results, thus biasing towards the null hypothesis
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If we still manage to find a difference, it means that the difference is even more compelling An issue with our measurement is now actually making our results even more impressive!
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This is one of many reasons why epidemiology can be pretty confusing End thread
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Lolz