Data Fellowship Coach @ Multiverse | PhD in Cognitive Neuroscience | Views my own
Flintshire
Joined January 2014
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Josh Payne retweeted
New preprint: “Three-Sided Testing to Establish Practical Significance: A Tutorial” (osf.io/preprints/psyarxiv/8y…) with @FitzgeraldJack_. We give a non-technical intro to an upgraded version of the TOST equivalence test, and show how to run and interpret such tests in practice🧵
Josh Payne retweeted
List of high-level Alzheimer's researchers accused of credible fraud:🧵
#1 - Marc Tessier-Lavigne
Genentech pointed out problems in his 2009 Nature paper in 2012. After an expose by @tab_delete, he had to resign from Stanford Presidency, but can still run lab and do research.
Josh Payne retweeted
1/10 Very excited to announce that my thesis project is now a preprint! We present the first detailed study of mental imagery in human ventral temporal cortex, bringing together the interests of @doristsao and @UeliRutishauser. biorxiv.org/content/10.1101/…
Josh Payne retweeted
What happens when we break down DSM diagnoses into their individual symptoms and rebuild our classification system from the ground up? Do we see familiar DSM constructs, HiTOP dimensions, or something else entirely?
New paper out today! ✨ journals.sagepub.com/doi/10.…
1/🧵
ALT Title and author information for the paper at the link in the tweet
How do your favorite disorders fare in a data-driven reorganization of the DSM-5?
Find out in this new preprint where we followed the patterns in 14,762 individuals’ symptoms with the goal of overcoming limitations in both the DSM and @HiTOP_system
teapawt.org/PsyArXiv_bot_v2/status…
ALT A representation of how symptoms of some exemplar constructs in the DSM-5 map onto the hierarchical structure we found. On the left are examples of disorders with symptoms that mostly hung together in the data-driven structure (i.e., ‘notably homogenous disorders’) and on the right are examples of disorders with symptoms that scattered throughout the data-driven structure (i.e., ‘notably heterogeneous disorders’).
Josh Payne retweeted
The attitude that helps most with intense stress is not mindfulness. It’s hope.
In hard times, it’s overwhelming to live only in the present. What brings strength is anticipating a brighter future.
Resilience lies in remembering that today's burdens may be lighter tomorrow.
Josh Payne retweeted
New position open in our group to work on a longitudinal study in children at family risk of dyslexia. In collaboration with @MarinaKalashnik @Nic_Molinaro @MRuzzoli and many more ! bcbl.eu/en/join-us/job-offer…
Josh Payne retweeted
Old but good (2016):
"we perform a 2,000 user, 250,000 trial online experiment to study the effects of slider appearance [Likert vs VAS]. We find that decorations along the slider considerably bias the distribution of responses"
dl.acm.org/doi/10.1145/28580…
Josh Payne retweeted
Discovering Statistics Using JASP!
@ProfAndyField
jasp-stats.org/2024/09/02/di…
Josh Payne retweeted
🚀 Exciting news! NVIDIA is now accepting applications for its $60,000 Graduate Fellowship Awards! Calling all doctoral students - this is your chance to leverage cutting-edge computing technology and make breakthroughs in your research. Learn more: blogs.nvidia.com/blog/applic…
Josh Payne retweeted
In celebration of its republication by @CRC_MathStats, we are giving away a signed copy of this classic textbook by Casella and Berger. Just like, repost, and follow me by Thursday 15th August to be in with a chance of winning! Enjoy and learn! #Statistics #DataScience #JSM2024
Josh Payne retweeted
#statstab #155 Power & Sample Size calculations for ordinal data {Hmisc}
Thoughts: An appropriate sample size is just as important as an appropriate (ordinal) analysis. Nice guide for a 2-group design with a Likert-type DV.
#ordinal #NHST #poweranalysis
library.virginia.edu/data/ar…
Josh Payne retweeted
#statstab #152 Common Pitfalls in Research Design, Data Analysis, and Reporting
@MaartenvSmeden
Thoughts: "Without such errors, research would, at the very least, be more informative". Good list for ECRs.
ncbi.nlm.nih.gov/pmc/article…
#research #design #methodology
#causalinference
Josh Payne retweeted
This is correct. I will add that I think we spend too little time thinking about measurement error
Josh Payne retweeted
We are happy to release the first results of a RCT of a US program that provided $1,000/month unconditionally for 3 years to 1,000 individuals in the treatment group, with a group of 2,000 people receiving $50/month serving as the control.
These are sizable transfers. 1/ 🧵
Josh Payne retweeted
It's just so important to see things from a different angle.
So here is how an IT helpdesk experienced the #Crowdstrike outage. 🧵
Please, read this even if you no interest in IT or know nothing about it. It doesn't matter. It's about appreciation for those who keep us going.
Josh Payne retweeted
It's been a while since I've shared this resource. If you are looking for help wrangling education data in #rstats, this wiki provides code examples organized by common tasks.
github.com/Cghlewis/data-wra…
Josh Payne retweeted
🔔Call for 3 postdoc positions associated with my project TURING (The Language Understanding of Artificial Intelligence Applications) is now open! More info euraxess.ec.europa.eu/jobs/2… Apply here seleccio.uab.cat. Deadline 31 July. Location: Beautiful Barcelona, but flexible😎
Josh Payne retweeted
For clinical prediction models correcting for class imbalance is very often a very bad idea
👉 doi.org/10.1093/jamia/ocac09…
👉 doi.org/10.1016/j.jbi.2024.1…
👉 arxiv.org/abs/2404.19494
Josh Payne retweeted
PhD students in metascience can sign up to present their work at the first Paul Meehl Graduate School PhD day on September 20th in Eindhoven - a one day conference to present your work and get feedback from peers. Sign up before August 15: paulmeehlschool.github.io/ne…