@mntj21.bsky.social and Ishaan use the method to show that structural and functional brain imaging variables do not improve predictive performance of psychopathology factor scores in reprobrainchart.github.io. w/
@aarona-b.bsky.social

Out-of-sample machine learning prediction accuracy underestimates the true maximum achievable predictive accuracy (MAPA) for brain phenotype associations. @mntj21.bsky.social used double ML to improve estimates for ML accuracy. w/ @edwardhkennedy.bsky.social

www.biorxiv.org/content/10.1...

Don't throw out your data though! If you model separate between- and within-subject effects, you'd see that they're different! Brain-behavior associations across individuals are different than changes within individuals. You can model those separately in your own data without any fancy stats!

Tidbit that you can implement in your own analyses: If you collect longitudinal data you improve efficiency by throwing out half your data! WTF?! If you use baseline ("1st") versus a common longitudinal analysis ("All") effect size decreases! Read on! @kaidikang.bsky.social @meharpist.bsky.social