Kaidi Kang

@kaidikang.bsky.social

Assistant professor at Wake Forest University School of Medicine | PhD in Biostatistics from Vanderbilt University 🎓 | Kendo player 🤺 https://kaidik.github.io/

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!

Bild

My greatest pleasure to have worked with the amazing editor @meharpist.bsky.social, the excellent reviewers, and the awesome editorial team at Nature on our paper!! Thrilled to share our research!

Mary Elizabeth Sutherland@meharpist.bsky.social · 2y ago

How can we increase the replicability of brain-wide association studies in a rigorous way? A new @natureportfolio.bsky.social study by @kaidikang.bsky.social et al describes the aspects of study design that improve the replicability of BWAS studies 🧪https://www.nature.com/articles/s41586-024-08260-9

Thank you, Dr. Fair! It was really a rewarding experience for me to collaborate with your team from #MIDB! @drdamienfair.bsky.social @tervoclemmensb.bsky.social @bart-larsen.bsky.social Thank you for all your efforts and expertise you put into this work; they truly made this work better!

Damien Fair@drdamienfair.bsky.social · 2y ago

Congratulations @kaidikang.bsky.social et al on their paper in Nature. Also proud of the team at #MIDB in the support! @tervoclemmensb.bsky.social @bart-larsen.bsky.social and more! If you are interested in optimizing study designs, take a look, it's a great read! www.nature.com/articles/s41...