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Reposted by Rohit Vashisht

Karandeep Singh @kdpsingh.bsky.social · 12d

“It is simpler to do erroneous things.” - @f2harrell.bsky.social

H/t @phdemetri.bsky.social

stats.stackexchange.com/questions/67...

Why include unadjusted estimates in a study when reporting adjusted estimates?

Upon reading "The Strengthening the Reporting of Observational Studies in Epidemiology " or STROBE guidelines, one will find advice to (a) Give unadjusted estimates and, if applicable,

stats.stackexchange.com

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Rohit Vashisht @rohitv.bsky.social · 12d

I remember (pre-COVID) great debates usually in conferences about the value of providing un-adjusted estimates to illustrate likely Simpson paradox (among other bias) and hence the need for adjustments in observational studies. Those discussion never really went anywhere in practice.

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Rohit Vashisht @rohitv.bsky.social · 12d

👀

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Reposted by Rohit Vashisht

Maria Glymour @mariaglymour.bsky.social · 15d

One of the fun things about launching @timead.bsky.social is the amazing early career folks. We started a "scientist spotlight" website section. The 3 posted are just our first few - really gratifying to see the work of Master's & PhD students, and post-docs -more spotlights coming!

bit.ly/3VCa84g

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Rohit Vashisht @rohitv.bsky.social · 14d

Love writing math? Tex is the only way :-)

Try @typst.app if you haven’t allready.

Reposted by Rohit Vashisht

Maria Glymour @mariaglymour.bsky.social · 18d

I wrote a LinkedIn post on advice for incoming Master's students in public health and epidemiology. tl;dr: do hard things, get help when needed, make friends and thank people, and have fun - it's amazing. #EpiSky #DataSciSky #PublicHealth #GradSchool
Full article: bit.ly/4neVYlE

Picture of feet on the edge of a diving board about to jump off backwards, with blue-painted toenails and a tattoo just above the ankle.

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Rohit Vashisht @rohitv.bsky.social · 20d

Tired: Global interpreter lock for data heavy parallel processing in Python

Wired: Reading data in 1GB chunks and processing sequentially

Rohit Vashisht @rohitv.bsky.social · 22d

Data fog is a new one!

@caltrain.com station, SF.

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Reposted by Rohit Vashisht

Jacobs Center for Health Innovation @UC San Diego Health @jchi-ucsd.bsky.social · 23d

We love to see JCHI's @kdpsingh.bsky.social, @ucsdhealth.bsky.social named one of 24 new ACMI Fellows!

His leadership in health AI, model governance & informatics policy is reshaping how AI is used responsibly in care.

Read more⤵️
amia.org/news-publica...

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Rohit Vashisht @rohitv.bsky.social · 24d

The proper link that would work in here: ai-podcast.nejm.org/e/from-clini...

From Clinician to Chief Health AI Officer: A Conversation with Dr. Karandeep Singh | NEJM AI Grand Rounds

Dr. Karandeep Singh brings two worlds together: programming and medicine. In this conversation, he explains how early experiments with code led him to biomedical informatics, why gaps between paper pe...

ai-podcast.nejm.org

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Rohit Vashisht @rohitv.bsky.social · 24d

From Clinician to Chief Health AI Officer: A Conversation with @kdpsingh.bsky.social www.podbean.com/ew/pb-9t5e4-...

For clinicians, Singh’s story is a reminder that the best AI is guided by patient care, deep expertise, and humility about the limits of technology.

Inspiring!

From Clinician to Chief Health AI Officer: A Conversation with Dr. Karandeep Singh | NEJM AI Grand Rounds

Dr. Karandeep Singh brings two worlds together: programming and medicine. In this conversation, he explains how early experiments with code led him to biomedical informatics, why gaps between paper pe...

www.podbean.com

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Rohit Vashisht @rohitv.bsky.social · 24d

Excellent perspective! Can’t get better than this, and very helpful. Thought our work might be of interest (currently under review) therefore sharing papers.ssrn.com/sol3/papers....

Phenome-Wide Risk Evaluation of GLP-1 Receptor Agonist Use in Type 2 Diabetes with Real-World Data Across Multiple Healthcare Systems

Glucagon-like peptide-1 receptor agonists (GLP-1RAs), widely used for managing type 2 diabetes (T2D) and weight, are gaining attention for treatment of a broad

papers.ssrn.com

Rohit Vashisht @rohitv.bsky.social · 27d

Late night LLM training thoughts:

I’m increasingly appreciating APEs over other position embedding. Their simplicity makes them easy to implement and efficient in distributed training setups. APEs could also provide a stable foundation for enhancing the consistency of LLMs.

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Rohit Vashisht @rohitv.bsky.social · 28d

qwen is good, like really good!

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Reposted by Rohit Vashisht

Karandeep Singh @kdpsingh.bsky.social · Sep 9

Statistician: What is zero-shot learning?

ML researcher: It’s when you don’t train your model, you just use it.

Stats: So you just take a shot?

ML: Exactly.

Stats: One shot…

ML: Exactly.

Stats: …

ML: Makes sense tho. Think of it like Python list indexing, where the first shot is the zeroeth.

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Rohit Vashisht @rohitv.bsky.social · Sep 9

Tired: Zero shot learning

Wired: No shot learning

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Rohit Vashisht @rohitv.bsky.social · Sep 9

Manuscript review requests are like poking one bee and getting the whole dang hive buzzing after you!

Say yes to one, and suddenly you’re swarmed with a zillion more “review this, please!” emails.

Reposted by Rohit Vashisht

Karandeep Singh @kdpsingh.bsky.social · Sep 5

Mother: I have twins.

Doctor: Oh, so they were born on the same day?

Mother: No, they were born with the same propensity score.

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Rohit Vashisht @rohitv.bsky.social · Sep 5

This is deep, very very deep!

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Rohit Vashisht @rohitv.bsky.social · Sep 5

When I started post doc it was ‘patient like me’ then it was ‘patient like mine’ now ‘digital twin’ next ‘Artificial patient’ next to next ‘patient like my AP patient’ … circle of life

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Reposted by Rohit Vashisht

Karandeep Singh @kdpsingh.bsky.social · Sep 5

Tired: Adjusting for covariates

Wired: “Building a digital twin”

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Rohit Vashisht @rohitv.bsky.social · Aug 31

If you understand the nullspace, you understand the matrix!

— Gilbert Strang

Reposted by Rohit Vashisht

Karandeep Singh @kdpsingh.bsky.social · Aug 30

“Our model is probably in our view the best model for this task and the fastest and second cheapest but not the best performing but the benchmarks don’t reflect the nuances of real-world use” is a whole lot of words to say that it’s not SOTA.

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Rohit Vashisht @rohitv.bsky.social · Aug 30

Looks like they took inspiration from Bilbo Baggins:

"I don't know half of you half as well as I should like, and I like less than half of you half as well as you deserve”

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Rohit Vashisht @rohitv.bsky.social · Aug 28

Tired: Long context length

Wired: No context length

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