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KirkegaardEmil's profile
Emil O W Kirkegaard
Emil O W Kirkegaard
Emil O W Kirkegaard
@KirkegaardEmil

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Emil O W Kirkegaard

@KirkegaardEmil

#psychology #genomics #hbd #rstats #statistics #genomics #transhumanism #dataviz #openscience #psychometrics @OpenPsychJour

Denmark
emilkirkegaard.dk
Joined January 2012

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    1. Inquisitive Bird‏ @Scientific_Bird Jan 26
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      Chekroud and colleagues provided evidence that an individual's biological sex can be classified with high accuracy from the brain's "mosaic" patterns. They were able to accurately predict sex with an accuracy of 93% in a large held-out sample. (4/8)https://doi.org/10.1073/pnas.1523888113 …

      1 reply 1 retweet 11 likes
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    2. Inquisitive Bird‏ @Scientific_Bird Jan 26
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      How well can we establish sex from the differences in neuroanatomical features? A team of researchers found that they could accurately predict sex with 83% accuracy in cross-validated set and 77% in independent data set. (5/8) https://doi.org/10.1016/j.neuroimage.2018.01.065 …

      1 reply 1 retweet 9 likes
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    3. Inquisitive Bird‏ @Scientific_Bird Jan 26
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      How about patterns in the gray matter? A team finds that "Models using components of brain gray matter volume and concentration were able to differentiate between males and females with greater than 93% generalizable accuracy." (6/8)https://doi.org/10.1002/hbm.24462 …

      2 replies 3 retweets 12 likes
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    4. Inquisitive Bird‏ @Scientific_Bird Jan 26
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      Patterns in the functional connectivity of the brain is related to sex and ancestry. A team provides evidence that ancestry and sex can be quite accurately predicted from these patterns. Area-under-curve of 0.98 for prediction of sex. (7/8)https://doi.org/10.1101/440776 

      1 reply 2 retweets 14 likes
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    5. Inquisitive Bird‏ @Scientific_Bird Jan 26
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      While none of these predictions have perfect accuracy, it is clear that we can do much better than chance. How well might we be able to do if all of the information above was used simultaneously? We don't know for sure, but it would be a very high accuracy. Thread over. (8/8)

      3 replies 2 retweets 21 likes
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    6. Andrew Cutler‏ @AndrewCutler13 Jan 28
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      Replying to @Scientific_Bird

      Features: N, accuracy, and model: brain waves: 1308, 80%, CNN functional connectivity: 820, 87%, regression brain 'mosaic': 1566, 93%, regression neuroanatomy: 967, 77%, SVM grey matter: 1300, 93%, most shallow models including SVM functional connectivity: 950, 98%, elastic net

      1 reply 0 retweets 2 likes
    7. Andrew Cutler‏ @AndrewCutler13 Jan 28
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      Replying to @AndrewCutler13 @Scientific_Bird

      From a computer vision standpoint, these are naive models trained on very little data. Check out performance boosts in the ImageNet classification competition, mainly driven by larger models that can leverage info from very large N:pic.twitter.com/ibSjB8CGUg

      2 replies 0 retweets 2 likes
    8. Andrew Cutler‏ @AndrewCutler13 Jan 28
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      Replying to @AndrewCutler13 @Scientific_Bird

      From a modeling and N standpoint, these studies which yield 80-90% acc are not even at the 2010 point. My guess is if there was a good dataset and a competition, gender classification would go to ~100% acc.

      1 reply 0 retweets 1 like
    9. Andrew Cutler‏ @AndrewCutler13 Jan 28
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      Replying to @AndrewCutler13 @Scientific_Bird

      Andrew Cutler Retweeted Emil O W Kirkegaard

      Relevant, there seems to be a publication bias for reporting smaller gender differences (reversing the natural tendency to oversell):https://twitter.com/KirkegaardEmil/status/1018494702977474561 …

      Andrew Cutler added,

      Emil O W Kirkegaard @KirkegaardEmil
      Jakob Pietschnig: Reverse publication bias for sex difference in spatial ability. Psychologists publish as if trying to hide the male advantage. #ISIR2018 http://programme.exordo.com/isir2018/delegates/presentation/42/ … pic.twitter.com/n4h2qm5NE6
      0 replies 0 retweets 1 like
      Emil O W Kirkegaard‏ @KirkegaardEmil Jan 28
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      Replying to @Scientific_Bird @AndrewCutler13

      There is a meta on brain size differences. You should check it for pub bias.

      6:07 AM - 28 Jan 2019
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      • Inquisitive Bird
      0 replies 0 retweets 1 like

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