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/
https://kaidik.github.io/
Reposted by Kaidi Kang
👏 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.
June 16, 2025 at 1:37 PM
👏 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! 👇👇👇
Easily add effect sizes and confidence intervals with the RESI R package. Now official with a publication in JSS.
doi.org/10.18637/jss...
Check out the website (statimagcoll.github.io/RESI/) to report bugs or request model types.
@mntj21.bsky.social - first author, with @kaidikang.bsky.social
doi.org/10.18637/jss...
Check out the website (statimagcoll.github.io/RESI/) to report bugs or request model types.
@mntj21.bsky.social - first author, with @kaidikang.bsky.social
RESI: An R Package for Robust Effect Sizes by Megan Jones, Kaidi Kang, Simon Vandekar
<p>Effect size indices are useful parameters that quantify the strength of association and are unaffected by sample size. There are many available effect size parameters and estimators, but it is diff...
doi.org
April 1, 2025 at 3:39 PM
Really excited to see this paper is finally out! 👇👇👇
Excited to reach this milestone!!
PhD candidate @vanderbilt.edu Kaidi Kang @kaidikang.bsky.social (MS biostatistics @columbiauniversity.bsky.social) defends his dissertation on Monday 3/10 at 1 pm. Advisor: @vandyatvandy.bsky.social. The event is hybrid and all are invited. www.vanderbilt.edu/biostatistic... #NeuroSky #MedSky #BWAS
Kaidi Kang dissertation defense – March 10
PhD candidate Kaidi Kang will present his dissertation on Monday, March 10, at 1 p.m. Central Time. His advisor is Simon Vandekar. All are invited and encouraged to attend. The defense will be conduct...
www.vanderbilt.edu
February 25, 2025 at 4:55 PM
Excited to reach this milestone!!
Reposted by Kaidi Kang
New essay on NIH and indirect costs:
goodscience.substack.com/p/indirect-c...
goodscience.substack.com/p/indirect-c...
Indirect Costs at NIH . . .
I wasn’t planning on spending part of a Saturday writing about cost accounting principles and the like, but NIH-world was hit with a doozy of a policy announcement on Friday night:
goodscience.substack.com
February 8, 2025 at 11:53 PM
New essay on NIH and indirect costs:
goodscience.substack.com/p/indirect-c...
goodscience.substack.com/p/indirect-c...
Reposted by Kaidi Kang
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!
January 22, 2025 at 5:42 PM
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!
Reposted by Kaidi Kang
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
January 22, 2025 at 5:42 PM
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)
How should we handle outlier data points, given that one of the recommendations was that “individuals scoring at the extremes on a testing scale or battery ('phase I') could be prioritized for subsequent brain scanning ('phase II')”? Are we looking for data that is extreme but not too extreme?
December 10, 2024 at 11:58 PM
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)
How should we handle outlier data points, given that one of the recommendations was that “individuals scoring at the extremes on a testing scale or battery ('phase I') could be prioritized for subsequent brain scanning ('phase II')”? Are we looking for data that is extreme but not too extreme?
December 10, 2024 at 11:57 PM
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
Study design features increase replicability in brain-wide association studies - Nature
Optimizing study design is critical for increasing standardized effect sizes and replicability, and the features that increase replicability in cross-sectional and longitudinal brain-wide association ...
www.nature.com
December 10, 2024 at 3:52 AM
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!
Reposted by Kaidi Kang
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
Study design features increase replicability in brain-wide association studies - Nature
Optimizing study design is critical for increasing standardized effect sizes and replicability, and the features that increase replicability in cross-sectional and longitudinal brain-wide association ...
www.nature.com
December 9, 2024 at 7:16 PM
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
✨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...
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...
Study design features increase replicability in brain-wide association studies - Nature
Optimizing study design is critical for increasing standardized effect sizes and replicability, and the features that increase replicability in cross-sectional and longitudinal brain-wide association ...
www.nature.com
November 28, 2024 at 2:20 AM
✨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...
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 @roselynechauvin.bsky.social sky.social and @ndosenbach.bsky.social for this awesome Nature News & Views on our work!
Great conversations with @ndosenbach.bsky.social while preparing this Nature News & Views on the new Kang et al. Ready to have the same with everyone here. Thoughts? What other practice should be investigated to help BWAS reproducibility?
www.nature.com/articles/d41...
www.nature.com/articles/d41...
Design tips for reproducible studies linking the brain to behaviour
Sampling schemes for reproducible brain-wide association studies.
www.nature.com
November 28, 2024 at 1:47 AM
Thank you @roselynechauvin.bsky.social sky.social and @ndosenbach.bsky.social for this awesome Nature News & Views on our work!
Reposted by Kaidi Kang
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...
New research points way to more reliable brain studies
A new study in Nature identifies research strategies for tying brain function and structure to behavior and health.
news.vumc.org
November 27, 2024 at 10:13 PM
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!
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...
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...
Study design features increase replicability in brain-wide association studies - Nature
Optimizing study design is critical for increasing standardized effect sizes and replicability, and the features that increase replicability in cross-sectional and longitudinal brain-wide association ...
www.nature.com
November 28, 2024 at 1:17 AM
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 😋
November 27, 2024 at 8:58 PM
Hi. Just joined bluesky 😋