Unless you are attacking their data collection, that is not accurate. The main issue with controlling for confounding variables is residual confounding, which is not what the tweets were about at all
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Where do they get the values to use to adjust the raw data?
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Replying to @TuckerGoodrich @drvyom and
A variety of places, it's all in the methods section
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Yes, and there seems to be an unfounded confidence in that data, and no, it's typically not listed in methods. They just mention that ut has been done. No raw data, no data for adjustments.
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Replying to @TuckerGoodrich @drvyom and
They briefly go over the data collection and reference their earlier publications where the data collection is more broadly described
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So no raw data.
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Replying to @TuckerGoodrich @drvyom and
Indeed. I imagine you could get it if you applied to the study authors and had a valid reason, but it wasn't published publicly Standard practice with potentially identifiable patient data such as this. It's usually an ethical requirement, in fact
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Raw data can anonymized easily enough, and still allow statistical validation. You still haven't addressed the starvation-level calorie intake, which invalidates the entire enterprise.
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Replying to @TuckerGoodrich @GidMK and
They also excluded the people who immediately suffered poor outcomes. "We did not update carbohydrate exposures of participants that developed heart disease, diabetes, and stroke before Visit 3"
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Replying to @TuckerGoodrich @drvyom and
I have indeed addressed your misconceptions, and you are simply describing standard epidemiological practice. This is extremely tiresome
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"How dare they use standard methodology in a study I disagree with!" *Shakes fist at sky*
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Standard methodology that equals misrepresenting the data, faking the outcome. Go epidemiology!


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