Manjari Narayan | @Neurostats

@neurostats.org

AI in Bio & Health & Therapeutic Development Bio: https://linktr.ee/mnarayan Substack: https://blog.neurostats.org Peek into my brain: notes.manjarinarayan.org Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩‍📈📉

I think the problem here is that most people who do epidemiological research - including many who might call themselves 'epidemiologists' - have not actually had any epidemiology training. I wish it was a protected title. With an exam that would require proving you understand residual confounding!

This appears to be a very problematic weaponization of casual reasoning that feels 'rigorous' because it involves a selective presentation of evidence. Some very excellent researchers have looked into the problems from air pollution. #CausalSky #MetaSky www.theguardian.com/technology/n...

Inside a plan to use AI to amplify doubts about the dangers of pollutants

Risk analyst Tony Cox’s work has been backed by the chemical lobby, and some health experts are alarmed

theguardian.com

Every few years there is a new article like this, but not much will change unless scientists stop relying on GraphPad Prism that doesn't offer any of this and have something they can use more easily. LLM powered workflows might change this going forward.

Jason Moore@moorejh.bsky.social · last yr.

A brief guide to statistical analysis of grouped data in preclinical research www.nature.com/articles/s42... #datascience #bioinformatics #statistics #mlsky

Unless you are using inferential clustering methods that are designed to severely test any hypotheses against the baseline that "how often would you find clusters if the data was generated by these high dimensional null patterns or if data were corrupted by structured measurement error"

Kevin M. King@kevinmking.bsky.social · last yr.

1) LCAs are designed to find classes. So when a paper's Aim I is "We'll use LCA to see if there are classes", it's like saying "We're going to estimate a mean and see if there's an SD". It's that dumb

the Mesoscopic Integrated Neuroimaging Data (MIND) platform will soon be opening also for outside researchers leveraging our new 15.2 T 🐁 MRI, SHIELD clearing and fully upgraded lightsheet microscope plus computational resources developed by @neuroak.bsky.social to handle large datasets.

Marco A. Maximo Prado@maximoprado.bsky.social · last yr.

Great news just announced. @neuroak.bsky.social is leading a new funded @braincanada.bsky.social platform that promises to revolutionize the study of neurodegeneration by tackling Patho-connectomics Merging MRI and lightsheet analysis in new models of disease www.schulich.uwo.ca/about/news-e...

If you use a model dialogically, it’s effectively guiding you through the free-writing/revision cycle composition teachers recommend. I get why this mode of use isn’t very visible. All the rhetoric around AI has been that it’s “generative” and does the work for you. Things like the “Dear Sydney” +

FDR metrics only offer error-control of the false discovery proportion under expectation. It is already a liberal standard of evidence when you realize that. Most don't. If one wants to defend a paper in nature, you might find AI reasoning agents quite useful to check your work. #StatSky 🖥️ 🧬 📈💻

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What was interesting to me was that, despite my best efforts, SCB was unable to understand that this was a framing of the observations, and not simply a description of them. The response was that to be curious about this framing revealed total ignorance of the field, despite the following... /3

Apart from at a few over-plucked trees, for many subtopics it is not clear how to make a good theoretical contribution to the area. Involves inventing new plucking tools, deciding which fruit are both within grasp and edible for your experimental colleagues

This is very interesting. It is indeed problematic that psychotherapy efficaciousness is not being evaluated. But I'm not sure about the anesthetic analogy. The problem is that the two together represent a kind of non-additive therapeutic interaction in a way that isn't necessary with anesthesia.

Max Wolff@trpwolff.bsky.social · last yr.

With Natalie Gukasyan, @leorroseman.bsky.social & @pliknaitzky.bsky.social LINK to the article: journals.sagepub.com/doi/10.1177/...

One reason I hate the term "Polynomial Regression" so much is because linear regression means "linear in parameters", not "linear in variables". I'm not calling it logarithmic regression either when logging some variables. Still linear regression. Stop making squaring a variable sound like magic.

Not a single AI science agent paper I've read so far tackles the issue that actual scientific discovery bears no resemblance to the hypothetico-deductive veneer given by the papers describing results. So asking agents to match the literature and/or solve problems in this way feels very off ...

> If you become too focused on a particular therapeutic hypothesis, you lose sight of the fact that you may be wrong with respect to your assumptions. You’re always going to make assumptions, just don’t forget what they are. That way if things go wrong you can figure out which assumption was ❌

Manjari Narayan | @Neurostats@neurostats.org · last yr.

How innovation that goes beyond current trends happens in industry — you have to do things under the table outside of your day job commitments.