Also, not controlling for a covariate on which groups of interest differ makes a statistical analyses stronger? 
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Replying to @EikoFried @ar0mcintosh and
It does because the direction of the confounder is opposite of claimed effect. And yes, IQ ~~ brain size for ~every area.
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Replying to @KirkegaardEmil @ar0mcintosh and
Update: IQ table was labeled the wrong way (in which case authors should have still controlled for this as covariate that may drive group d)pic.twitter.com/RZSWxQ1HFQ
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Replying to @EikoFried @KirkegaardEmil and
I get the feeling that with the flurry this paper has cause there will be alot of errata coming
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Replying to @ar0mcintosh @EikoFried and
Well, since ADHDers do have lower IQ (about 9 points), this seems fine. http://psycnet.apa.org/journals/neu/18/3/543/ …
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Replying to @KirkegaardEmil @ar0mcintosh and
If you control for these things, you change the question from: brain size differences bwtn ADHDers and normies to
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Replying to @KirkegaardEmil @ar0mcintosh and
brain size diffs between ADHDers and normies GIVEN equal IQs. I.e. you subsample to the smarter ADHDers.
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Replying to @KirkegaardEmil @ar0mcintosh and
So this paper wouldn't tell us anything.
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Replying to @Neuro_Skeptic @ar0mcintosh and
Kinda sorta. Depends what your precise question is. Depends on your causal model whether you want to control or not! If you think lower IQ
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Replying to @KirkegaardEmil @Neuro_Skeptic and
is a confounder, i.e. both have same cause, then you prob want to control; but if you think lower IQ is effect of ADHD, then controlling is
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controlling for some of the indirect effects of ADHD. So, depends on your causal thinking. Both questions are relevant IMO.
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