Fjorida Llaha

This is great, Jeremy, and super helpful for resolving co-author debates on language. Just one small unnecessary critique. Often, the first author in Box 1 is a PhD or postdoc, and in my experience, they are often the ones pushing senior co-authors toward better language use 😊

Tan solo al ver que salían en El Hormiguero, pedír donaciones públicas y hacer sentir al público responsable de los avances en el campo, me pareció una praxis dudosa.

Consequences of following Jeremy → constantly reminding myself that it’s my duty to give meaning to “associations” and the results, not the reader’s job. I am the one who knows the study goal, my data, the literature, who chose the methods.
Temptation to write “association” and move on is real :)

Cool paper from @keling-wang.com showing that 35% of randomly selected diabetes guideline recommendations use stronger causal language than the papers they cite. Such "causal jumps" are not necessarily unwarranted but, at best, lack of transparency in how causal conclusions were arrived at.

Credits go to the people of #EpiTwitter, not to Twitter 😊

This takes me back to #EpiTwitter and the debates on the use of latent growth curve models for causal questions. That thread SAVED MY PHD.

"What exactly is being compared?", among other questions and issues made me stopped using these models further in my PhD.

When you don't go to a conference, but your DAG does 😊

I’m uploading my #DAGs on #alcohol and #cancer to this nice platform for sharing and discussion.

This DAG is also available on DAGitty for easy reuse: dagitty.net/dags.html?id...

A detailed explanation of the assumptions behind the DAGs is here: www.dovepress.com/article/supp...

Many congratulations 🎉

Do you have any advice for PhD students on how to work with senior co-authors who insist that the language in observational studies should be strictly limited to associational? Assume that quitting the PhD or changing co-authors is not an option.

#EpiSky Please share!

Professor/førsteamanuensis i biostatistikk (286394) | UiT Norges arktiske universitet Stillingstittel: Professor/førsteamanuensis i biostatistikk (286394), Arbeidsgiver: UiT Norges arktiske universitet, Søknadsfrist: søndag 12. oktober 2025

Position as professor/associate professor in biostatistics in Tromsø. Deadline October 12.
www.jobbnorge.no/ledige-still...

I’ve had the same impression while looking at academic epidemiology postdoc offers. So much focus on AI, machine learning, LLM experience. Are these the core skills we need now? What about subject matter knowledge, study design, bias, statistics, population health knowledge? Outdated?

The evaluation committee consists of one academic representative/usually a senior academic from each department of the faculty, the Pro Dean for Research Education, and a student representative.

Evaluated. The format is like a grant proposal and evaluation focuses on scientific rigor and project feasibility.

At UiT (Tromsø), we submit two protocols, one to the faculty and one to the ethics committee - even when using existing cohorts. Both must describe methods + variables you want to access (what & why). If changes are needed later, both protocols must be updated and re-approved.

Every time I pass this road, I think its so cool that the #TromsøStudy has its own directional traffic sign.🙂 #PopulationBasedStudy #Norway

lnkd.in/dkGp45Cd

Excited for my first #SER2025 in Boston next week! Looking forward to meeting US collaborators in person who are advising me on how to properly use target trial emulation and G-methods in #alcohol and #cancer observational studies.

Highly recommended! Also, very helpful to improve the quality of my own manuscripts.