I always find interesting that simple imputation (mean) works particularly well

Table 1. Incidence Rate Ratios of Guillain–Barré Syndrome after Laboratory-Confirmed Dengue Infection.

In a Brazilian self-controlled case series of 5055 hospitalizations for Guillain–Barré syndrome, laboratory-confirmed dengue was associated with an increased risk of Guillain–Barré syndrome occurring within 42 days. Learn more: nej.md/4cjXU8h

OpenAI: We’re burning money like the Joker. A miracle needs to happen for us to turn a profit

Microsoft: Please please use our AI systems, we’re teetering on the edge here

Anthropic: I wonder what’ll kill us first: lawsuits, regulations or model collapse

Media and universities: AI is here to stay

Dog imitating Penguins 🤣

🦟 New research @lshtm.bsky.social found dengue patients had (up to) 30-times at greater risk of developing Guillain-Barré syndrome

As the first study to link the two conditions with large-scale health records, it has important clinical implications

Find out why 🔽
www.lshtm.ac.uk/research/cen...

Reminder if you support us to sign and share if you can! ✍🏻

We're coming up to a year since I sent this letter to my executive board and I will resend it on or close to the year mark with even more international and national support against AI.

Thank you!

openletter.earth/open-letter-...

But it is probably that arboviruses and other tropical diseases are an important trigger of GBS (more relevant to those places that the "traditional" ones). But it was just neglected in the literature, as it barely occurs in the global north.
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We found a considerable (16.7) increase in incidence within 6 weeks of dengue. (compared to later periods, as it's a self-controlled series).
The literature on infections before Guillain-Barré syndrome is vast for C. jejuni, influenza, enteroviruses... But poor in tropical diseases
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Risk of Guillain–Barré Syndrome after Laboratory-Confirmed Dengue Infection | NEJM In a Brazilian self-controlled case series of 5055 hospitalizations for Guillain–Barré syndrome, laboratory-confirmed dengue was associated with an increased risk of Guillain–Barré syndrome occurri...

www.nejm.org/doi/full/10....
Sharing my last paper. It was an attempt to quantify /proof something suspected for a long time. Dengue can trigger Guillain-Barré syndrome (we have case reports from 1998).
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#episky

I hadn't made this point clear there. It was a link with the ending... source=chatgpt, so it was clear that the student used it.
But if I m not mistaken, I remember one exam that the student had included "ChatGPT" as a reference

In my institution, we don't have undergrad level, only masters/PhD. AI is "allowed" if disclosed. I have marked some master's dissertations with clear use of AI for writing (and even references with "source=chatgpt").
Same thing in some module exams with llm answers. It's sad

EXCLUSIVE: Poll shows huge support for nationalisation of key industries and utilities Privatisation has failed.

Your regular reminder 👇

🏥 81% want publicly owned NHS
🏫 78% want publicly owned schools
💧 73% want publicly owned water
🚂 70% want publicly owned rail
✉️ 70% want publicly owned mail
🚍 67% want publicly owned buses
💡 65% want publicly owned energy

aacrjournals.org/cancerrescom...
Ecological like (individual level data in cases but no real cohort) analysis showing marriage protects against cancer
Anyone free to dissect some biases?

@pwgtennant.bsky.social @dingdingpeng.the100.ci @georgiatomova.bsky.social
#episky #rstats

Same feeling. Everywhere there is a push for using them (as research subject) or to gain"productivity"

Petition 👇👇👇

No more 💩 in our rivers / on our beaches while huge dividends are paid to shareholders instead of upgrading the infrastructure!!! 😡
The water industry must be returned to public ownership!

Please sign and share 🙏

👇👇👇
petition.parliament.uk/petitions/76...
👆👆👆

I keep seeing these types of papers:
www.medrxiv.org/content/10.6... (LLM to "help/screening/etc" in Sys. Rev)
With the main argument of reducing workload. For what? Churn out more low-quality articles?

LSHTM (queen of ftcs)

Yeah, I just got a rejection from a fellowship and need to figure out how to get more ££ in the next 9 months. If at least grant decisions didn't take 1 year....

I should have moved to the Netherlands instead of the UK!

In the UK, my whole salary is paid by grant. Even as "faculty position" (assistant professor), I have a fixed term contract based on the length of my funding

pure luck
Wordle 1,755 2/6

⬛🟩🟨🟩⬛
🟩🟩🟩🟩🟩

Thanks!

Yes, the exposure is coverage of a social programme per city (the FE is city).
If someone would stick with rates, should they use linear regression (or maybe glm-gamma?)

Anyone? 🥺

Maybe @nickchk.com or @pengzell.bsky.social ?

Also, why only adjust for a few time points instead the whole range (2000-19)

I just saw a paper using Poisson regression with the "Age-standardised" as the outcome. This feels very weird to me, as I expected something as count ~ vars + offset(log(py)).
Can anyone explain to me why it would be a valid parametrisation?
www.thelancet.com/journals/lan...
#episky #econsky #rstats

Fake Nobel from predatory institution : www.scientificlaurels.com/biography/ksSR

What are the problems with Poisson (RR)?

Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues.

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Protecting the Ecosystem of Human Knowledge: Five Principles

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
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