👏 Huge congratulations to Assistant Prof @sarahlotspeich.bsky.social Lotspeich for her Societal Impact Award from the @cwstat.bsky.social! Dr. Lotspeich is being recognized for her outstanding efforts and impact on social justice through your collaboration, leadership, and partnerships.

Really excited to see this paper is finally out! 👇👇👇

Excited to reach this milestone!!

New essay on NIH and indirect costs:
goodscience.substack.com/p/indirect-c...

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

If they are accurate measurements (i.e., the participant has extreme cognitive ability on that task), then I would not consider them outliers, even if their values are extreme. (#2)

Thanks for the good question. If the outlier is caused by technical measurement error (i.e., the measure is not capturing what it is intended to; e.g., the person was falling asleep during the task), they should be excluded from the analysis. (#1)

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!

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, Peg!

✨Our paper is out in Nature today! ✨
In this work, we investigated how we can leverage study designs to improve the replicability of brain-wide association studies (BWAS)

👇👇👇
www.nature.com/articles/s41...

Thank you, Arielle!

Improving the replicability of BWAS is undoubtedly a complex challenge w/ no one-size-fits-all solution. Nonetheless, we hope our work offers overarching guidance to enhance the reliability of small-scale BWAS studies, considering their sample size constraints and specific research objectives! 🤗

Thank you @roselynechauvin.bsky.social sky.social and @ndosenbach.bsky.social for this awesome Nature News & Views on our work!

Vanderbilt PhD candidate Kaidi Kang @kaidikang.bsky.social is 1st author of a new paper in Nature, with associate profs Simon Vandekar (PhD @dbei-upenn.bsky.social) & Ran Tao (PhD @uncchapelhill.bsky.social), PhD candidates Jiangmei Xiong & Megan Jones... (1/2) news.vumc.org/2024/11/27/n...

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!

Hi. Just joined bluesky 😋