See david-baranger.shinyapps.io/InteractionP... for continuous variables! NB intxpower assumes your main effects are null, so will tend to be a bit conservative.
@davidbaranger
Assistant Professor at the Medical College of Wisconsin. ๐ง Substance use, neuroscience, genetics, & development. ๐ง ๐งฌ๐บ Rock climber & dad. He/him. ๐ง Opinions my own. ๐ค bearlab.science ๐ป
See david-baranger.shinyapps.io/InteractionP... for continuous variables! NB intxpower assumes your main effects are null, so will tend to be a bit conservative.
Please say hi at #ACNP if you'd like to chat with either of us about this opportunity!!
See also palmerpenguins - allisonhorst.github.io/palmerpengui...
๐๐จ๐ฎ๐ญ๐ก ๐๐จ๐ซ๐ซ๐๐ฅ๐๐ญ๐๐ฌ ๐จ๐ ๐๐๐ง๐๐ญ๐ข๐ ๐๐ข๐๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐ญ๐จ ๐๐ฎ๐๐ฌ๐ญ๐๐ง๐๐ ๐๐ฌ๐ ๐๐ข๐ฌ๐จ๐ซ๐๐๐ซ๐ฌ.ย New from us, led by @sarahepaul.bsky.social. PheWAS in ABCD identifies many potentially modifiable substance use risk factors!
www.medrxiv.org/content/10.1...
Certainly
Most people use MID contrasts (eg Big Win > Neut), which would be less reliable than any of these estimates.
I'm also surprised by how low the PET reliability is, but I'm less familiar with that literature.
Thanks Nicola! Given that they're looking at activation relative to an implicit baseline, and not a contrast, the ICC here is around what I would expect. Certainly longer time between measurements lowers reliability in many of the adolescent samples. Harder to say if there are age effects.
Great work led by Andrew Castillo extending sample size stability analyses to interactions! We've also added a function implementing these analyses to the InteractionPoweR R package: dbaranger.github.io/InteractionP... #rstats
When do interaction/moderation effects stabilize in linear regression?: https://osf.io/35t84
Reliability and sample size have a non-linear relationship. Linear increases in reliability yield diminishing reductions in the required sample size.
If you are ever working on a project and see r=0.98 between variables that are supposedly different, your first thought should be "oh $&*! what went wrong?", NOT "I wonder what mediates this???"
Shout out to BEAR Lab research tech Daniella Fernandez (who only joined 4 months ago!) whose poster abstract was selected for a nanosymposium at the annual meeting of the Upper Midwest Chapter of SFN this weekend! #neuroskyence #MRI ๐ง ๐บ
Applications for the Career Development Institute (CDI) in Psychiatry are open! Strongly recommend for senior grad students and postdocs.
cdipsychiatry.org
Interesting approach that aligns mouse and human brain-wide data using transcriptomics and structural connectivity. I'm curious if anyone here has tried using it yet? #neuroskyence www.biorxiv.org/content/10.1... transbrain.readthedocs.io/en/latest/
Official job ad is up! careers.peopleclick.com/careerscp/cl...
A new favorite citation appeared!
TIL in Windows you can use PowerShell to search not only file names but also text file contents - including .R and .Rhistory files. In a moment of pure insanity, 1.5 years ago I did not save the code for a figure, but it was recorded in an old .Rhistory file!
Lol thanks!!!
Also, I will be at #SRP this week if anyone wants to chat!
Current projects in the lab include longitudinal neuroimaging of substance use at different time-scales, family-based studies of casual and genetic effects, and the development of new ML models for task fMRI. This is a funded position with up to 3 years of funding available.
Excited to share that I am officially recruiting a postdoc to study the neurobiology of addiction! Looking for someone who would be excited to lead current projects in the lab and develop new directions in related areas.
More info: bearlab.science/opportunities/
๐ง ๐ New research examines potential bias in brain age algorithms across racial groups
๐ Study of 6 popular algorithms found lower accuracy for African American participants (r=0.51-0.85) compared to White/Hispanic participants (r=0.57-0.89)/1
๐๐ก๐ ๐ฅ๐ข๐๐๐ฌ๐ฉ๐๐ง ๐ญ๐ซ๐๐ฃ๐๐๐ญ๐จ๐ซ๐ข๐๐ฌ ๐จ๐ ๐๐ซ๐๐ข๐ง ๐๐๐ญ๐ข๐ฏ๐ข๐ญ๐ข๐๐ฌ ๐ซ๐๐ฅ๐๐ญ๐๐ ๐ญ๐จ ๐๐จ๐ง๐๐ฅ๐ข๐๐ญ-๐๐ซ๐ข๐ฏ๐๐ง ๐๐จ๐ ๐ง๐ข๐ญ๐ข๐ฏ๐ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ | "The predominant lifespan trajectory is inverted U-shaped, rising from childhood to peak in young adulthood before declining in later adulthood" www.sciencedirect.com/science/arti...
๐๐๐๐ข๐ญ๐ข๐ฏ๐ ๐๐ง๐ ๐๐ง๐ญ๐๐ซ๐๐๐ญ๐ข๐ฏ๐ ๐๐๐ฅ๐๐ญ๐ข๐จ๐ง๐ฌ๐จ๐ ๐๐๐ซ๐ฌ๐จ๐ง๐๐ฅ๐ข๐ญ๐ฒ ๐๐ง๐ ๐๐จ๐ ๐ง๐ข๐ญ๐ข๐จ๐ง ๐๐ข๐ญ๐ก๐๐ฑ๐ญ๐๐ซ๐ง๐๐ฅ๐ข๐ณ๐ข๐ง๐ ๐๐๐ก๐๐ฏ๐ข๐จ๐ซ๐ฌ | "Although interaction effects were detected, they were small and practically negligible in their explanation of variance in externalizing behaviors" journals.sagepub.com/doi/10.1177/...
Thanks! I was able to create an educator account on datacamp, which lets me give trainees access for free if then enroll in my 'class'. So far it looks like a useful supplement, particularly for programming concepts that might be new
Wooo NOA day! Phew.
If you're looking at pre-6.0 ABCD results with subcortical rs-fMRI correlations, the labels are all wrong! We reported a result as Auditory - L Putamen, but it it was actually Default Mode - L Cerebellum. docs.abcdstudy.org/latest/docum...
For sure. I guess my point is that a generative epistatic model with uncentered effects is equivalent to a centered model with large additive effects with the means added in after the data are generated. So the increasing additive effects you're seeing at higher MAF are expected.