JamieLarsH

JamieLarsH, 1 year ago to random

RT @rajivmovva
1/ Patient race in health datasets is often reported coarsely: for example, both Indian and Chinese patients are categorized as “Asian”. Does the coarse coding of race hide disparities in clinical machine learning performance?

In our new working paper (!), we find that it does.

video/mp4

JamieLarsH, 1 year ago to random

RT @BLMcKean
These professors span the disciplines - anyone who thinks they’ll get to keep their tenure and academic freedom in the Republican war on higher education because they or their field isn’t “woke” is fooling themselves https://twitter.com/sm_osment/status/1651361231209476101

JamieLarsH, 1 year ago to random

RT @CYPlessen
🔍Diving deep into the world of psychotherapies for #depression:

Our new multiverse meta-analysis created over 4000 meta-analyses.

The results?

Most analytical strategies suggest the efficacy of psychotherapy for depression.

🧵1/3

JamieLarsH, 1 year ago to random

RT @davidhughjones
A little #rstats package to add a magnified inset to a #ggplot2 graph https://github.com/hughjonesd/ggmagnify

JamieLarsH, 1 year ago to random

RT @EricTopol
Generative #AI and computational models to rev up drug discovery
--Outstanding review of computational approaches
https://www.nature.com/articles/s41586-023-05905-z @Nature by @ASadybekov @sevakat1
--#ChatGPT and LLM impact
https://www.nature.com/articles/s41587-023-01788-7 @NatureBiotech @neilsavagewrite

image/jpeg

JamieLarsH, 1 year ago to random

RT @SenFettermanPA
4 years ago, I went to every county in PA to talk about marijuana.

Veterans were unanimously for having cannabis as a medical option for their PTSD.

This is common sense. https://twitter.com/kylejaeger/status/1651320413140697089

JamieLarsH, 1 year ago to random

RT @jackiemader
Children who attended Boston's preschool program were more likely to go to college, had fewer behavioral issues and less absenteeism. "Preschool-goers may learn behavioral habits that keep them out of trouble." (No impact on test scores was found.)
https://www.technologyreview.com/2023/04/25/1070442/the-preschool-boost/

JamieLarsH, 1 year ago to random

RT @NewBlackMan
I will always love this photo:

JamieLarsH, 1 year ago to random

RT @neuroecology
childcare is absurdly expensive

except in North Dakota, Kansa, and Iowa I guess https://twitter.com/jeremybney/status/1648714386607857668

JamieLarsH, 1 year ago to random

RT @Dr_Alex_Crimi
This is so "insightful!" 'Insights and opportunities for deep brain stimulation as a brain circuit intervention' by Wolf-Julian Neumann, Andreas Horn & Andrea Kühn
( @neumann_wj @andreashorn_ @AA_Kuhn ) https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(23)00083-8
#DBS #Parkinson #connectomics

JamieLarsH, 1 year ago to random

RT @ParkvilleGeek
GAN-MAT: Generative Adversarial Network-based Microstructural Profile Covariance Analysis Toolbox | #bioRxiv https://www.biorxiv.org/content/10.1101/2023.04.20.537642v1.abstract?%3Fcollection=

JamieLarsH, 1 year ago to random

RT @ParkvilleGeek
DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data | #bioRxiv https://www.biorxiv.org/content/10.1101/2023.04.24.537396v1.abstract?%3Fcollection=

JamieLarsH, 1 year ago to random

Ohhh excited to read this one... "What is the agreement between subjective and objective measures of childhood adversity, and are they differentially associated with psychopathology?"

RT @emmarubyfrancis
Delighted to share that our meta-analysis (my first PhD paper) is published @TheJCPP

What is the agreement between subjective and objective measures of childhood adversity, and are they differentially associated with psychopat…
https://twitter.com/emmarubyfrancis/status/1651182738102157313

JamieLarsH, 1 year ago to random

RT @WesElyMD
Women in Medicine 🧬 🥇

What did Watson & Crick take from Franklin?”

#Justice & #Truth

She discovered DNA too‼️

There are untold stories of women making key discoveries in medicine & science.

Rosalind Franklin - TY 😃😒

@katiehafner https://twitter.com/erictopol/status/1650879304698564609

JamieLarsH, 1 year ago to random

RT @MattMattoni
So excited about our new project at Network Neuroscience @netneurosci with @olinotom and @DVSneuro!

We studied heterogeneity in adolescent reward connectivity networks with GIMME.

https://doi.org/10.1162/netn_a_00306

(1/13)

JamieLarsH, 1 year ago to random

RT @ShihYYI
Wow, this is incredibly interesting. A lot to learn from this paper! https://twitter.com/seonggi_kim/status/1650961516039131136

JamieLarsH, 1 year ago to random

RT @selcukorkmaz
🧵 1/10 🧵
🎯 Demystifying the #Apply Functions Family in #R 🎯

Are you an #Rstats enthusiast? Let's dive into the powerful 'apply' family of functions to help you manipulate and analyze data efficiently! 👩‍💻👨‍💻

#DataScience #RStats

JamieLarsH, 1 year ago to random

RT @doctorveera
"Here we propose a standardized approach for visualizing the effect size of risk variants across the allele frequency spectrum. The proposed plots have a distinctive trumpet shape ..." https://twitter.com/medrxivpreprint/status/1650434450130337794

JamieLarsH, 1 year ago to random

RT @ent3c
This is how nature-nurture ends: not with a hereditarian bang (Jensen thought h2 of IQ was .8) or some brilliant rebuttal showing it is 0. Properly deconfounded, behavioral h2 is non-zero, interesting, sometimes useful, and small enough to drown in a bathtub. https://twitter.com/michelnivard/status/1650599737811148800

JamieLarsH, 1 year ago to random

RT @PessoaBrain
What are the latest and greatest reviews on the 𝗽𝗲𝗿𝗶𝗮𝗾𝘂𝗲𝗱𝘂𝗰𝘁𝗮𝗹 𝗴𝗿𝗮𝘆 (𝗣𝗔𝗚)?
This one looks great.
Just a few simple things going on, should be easy to figure it out.
https://doi.org/10.1016/j.neuropharm.2023.109458

JamieLarsH, 1 year ago to random

RT @JennCVeilleux
I am asking a graduate student to read ten papers on emotion regulation to start getting a handle on the literature. Which are must reads, in your opinion? Obviously Gross (1998) and the update in (2015). What else?

JamieLarsH, 1 year ago to random

RT @upennedenlab
This looks like an incredibly important and useful system for our field! https://twitter.com/psychopathyis/status/1650630489709879296

JamieLarsH, 1 year ago to random

RT @laurel_joy_gd
🚨Update to our @pine_lab Resources for Researchers page: I've loaded my TT 3rd year review files to our New PI resources page! I feel extra self-conscious of these, but also continue to believe examples help. If you have materials you'd share, DM me!
https://www.plasticityinneurodevelopmentlab.com/resourcesforresearchers/newpi

JamieLarsH, 1 year ago to random

RT @syeducation
Slide of the day from my research methods class, on our totally normal publishing process.

JamieLarsH, 1 year ago to random

RT @edbullmore
How graph metrics of fMRI network topology are (strongly) related to simpler statistics of image autocorrelation in space and time | thought-provoking deep dive back to basics by Max Shinn et al @YaleNeuro @YalePsych @CamNeuro @UZH_en @sophie_achard_g

https://www.nature.com/articles/s41593-023-01299-3