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Jeremy Labrecque

@jeremylabrecque.bsky.social
2.8K followers 1.3K following 1.4K posts

Epidemiologist and causal inference person at Erasmus Medical Center. Québécois living in Rotterdam. jeremylabrecque.org

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Jeremy Labrecque @jeremylabrecque.bsky.social · 07/10/2026
People were so convinced that species could not go extinct that some people reported hearing mammoth cries when exploring the new world. Sometimes I wonder if a lot of this type of research will look the same in retrospect.
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Sarah Wieten @sarahwieten.bsky.social · 06/10/2026
If anybody reading this is a working scientist who would be interested to learn about and co-develop a public philosophy of science course for scientists, dm me, thanks! Shares appreciated!
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Darren Dahly @statsepi.bsky.social · 06/10/2026
Many papers I see: A global problem Search for modifiable "risk factors" A cohort study sorry I mean real-world data "Multivariate" regression Some associations Can't say cause Residual confounding Policy must change in ways having nothing to do with our findings More research is needed
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Jeremy Labrecque @jeremylabrecque.bsky.social · 04/10/2026
So death is a competing event for death?
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Jeremy Labrecque @jeremylabrecque.bsky.social · 03/10/2026
When I was a PhD student, I thought the most challenging thing in epi was how to answer a question. Now, figuring out what question people are trying ask is the most challenging part of my work.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 01/10/2026
There's a deeper message in there somewhere.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 01/10/2026
When we asked Claude to produce a peer review based on our document, we got something very very similar to the review received so I wonder if asking for peer review is the thing that makes it long-winded 🤣
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Per Engzell @pengzell.bsky.social · 30/09/2026
Two people at a cocktail party. One says: "I'm a fiction writer in the causal inference genre."
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Will Lowe @conjugateprior.org · 30/09/2026
What is your estimand?
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
I agree there are many important nuances in general. Not in this case though where it seems exceedingly likely our manuscript was uploaded to an LLM and the output was copied verbatim. Clearly against journal policy.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
Use, yes. But not uploading the pdf into the LLM which is clearly the case here. And there was also no disclosure.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
Ours too. So many irrelevant or unreasonable things. Like it checked all the appendices of all the literature that we cited. We are altering the editors, addressing the reasonable points and assuming it won't go back to that "reviewer".
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
Good point. This is an Elsevier journal and it's clearly against their policy.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
Do you ask it for feedback or to produce a peer review. If you ask for peer review it automatically activates its bloviate setting.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
Some fair points. Many points that are just 100% irrelevant. Like we have a DAG that is only there to show the complicated mechanism of the treatment and the AI reviewers says we need to include confounders in the DAG.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
I'd say it's a mix of some good points with many points that are clearly irrelevant. And it's extremely long-winded and contains statements that are kind of vacuous and vague. We are considering responding to the "review" but many responses would be "This point is not relevant to our manuscript."
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Jeremy Labrecque @jeremylabrecque.bsky.social · 30/09/2026
When you get a peer review that is clearly AI-generated, do you just immediately notify the editors of this? Do you address any reasonable points the AI made? Having my first experience with a clearly AI generated peer review.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 22/09/2026
Agree. Start by installing some miasma detectors.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
Target trial emulation is taught like this too. First think of the trial that would answer your research question. Then, adapt that trial to one that is answerable with the data you have. The trial you emulate is different than the one you want to know the answer to but it helps to have both.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
The
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
I'm not saying there's not a lot of bad practice out there where people do things like say "hmm I have this data and this method, what happens if I put them together". That happens. And usually people misinterpret their results because they don't even know what question they asked.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
But we describe our dataset in a paper after the research question is stated in the intro.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
If we got our questions mostly from data, then the introduction section of our papers wouldn't be about what's known and what research gaps exist, it would just be about the dataset and why this dataset somehow made it that this RQ needed to be asked.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
In my consulting I work with a lot of people that do have a question they are not aware of mostly because they don't know how to ask good research questions. I work with them to figure out what they want the answer to. Then we figure out how we can get the closest thing to an answer from data.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
And I don't even necessarily think it's terrible to do. My preference is just to know what you want to know and what you can know given your data.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
Fully agree that things are often done that way and that's why people ask questions that way. I feels a bit like a salesperson's pitch to me. "I will answer this question with this amazing data!"
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
The research question must exist, not an objective truth
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
How does asking a RQ without a dataset imply assume there’s an objective truth?
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
And I think it must exist regardless of whether we're even aware of it because your constrained RQ is not just a function of the data, it's a function of what you want to know as well. I don't know even know what it would mean for a RQ to be only a function of available data.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
We design RCTs starting with a RQ before we have any data or a design. I just gave an assignment to students where they are forced to start from a RQ and work toward an answerable RQ given a real data set. It seems uncontroversial to say that an unconstrained RQ can exist.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
And I definitely see how the data can constrain a RQ even before the data are collected. But the constrained RQ is still not just a function of the data, it's a function of the data and the thing we want to know.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
There are certainly many ways to do it. When possible, it's useful to clearly state what you want to know and then what you can know. The difference between the two is very informative.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
But even if the unconstrained RQ is useless, it should be reported. Why is this research even being done?
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
In my field there’s always a much more specific RQ than the ones you present and that’s important to know. But I‘d also he surprised if any field went from “vague, useless RQ“ to ”hyper specific and answerable RQ” without any intermediate RQs that are themselves not useless.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
Does anyone land on “report both the unconstrained and constrained research questions“? That’s my preference and I can’t see why there would be any objection.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
There’s nothing wrong with data constraining the question. It’s necessary. But it also implies there’s an unconstrained RQ and I want to know both. And you don’t need to say anything about data for the unconstrained question.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 21/09/2026
Why do people talk about their data in their research question? E.g. "Using a population-based sample with high-resolution estimates of fine-particle exposure, we aimed to..." The RQ is what you want to know and the data come after to help you study it. There's no reason to mix the two.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 20/09/2026
In epidemiology at least, it’s incredible how vague a lot of language is. Even a literal read allows multiple points of views. And I’m not talking only about associational language. So much of a paper uses imprecise language that maybe suggests a meaning but can be taken many different ways.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 15/09/2026
Relationship inference: what ifn’t
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Jeremy Labrecque @jeremylabrecque.bsky.social · 15/09/2026
How should I design this relationship study? Let me check my handy textbook: relationship inference
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Jeremy Labrecque @jeremylabrecque.bsky.social · 15/09/2026
Saying “I’m not interested in causality, just relationships“ is just as crazy as talking about balancing humours. But we’re so used to the former that we don’t see it for the crazy it is.
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Robin Blythe @rbly.bsky.social · 07/09/2026
Friendly reminder: Just because they publish in Q1 journals doesn't mean a research group isn't a paper mill! There's plenty of room to call out shitty citation-stuffing associational research for everyone!
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Auuuulet 🍂👻 @aulet.es · 26/08/2026
"LibreOffice 26.8 contains no generative AI features. Documents are not transmitted to remote services for processing, and no component of the suite requires network access to function. This is a deliberate position."
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Jeremy Labrecque @jeremylabrecque.bsky.social · 27/08/2026
Wait. Didn't Dr. Oz learn about causal pies?
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Madhu Pai, MD, PhD @madhupai.bsky.social · 26/08/2026
Seven ways to improve observational epidemiology and build trust @natureportfolio.nature.com @gidmk.bsky.social www.nature.com/articles/s44...
nature.com
Seven ways to improve observational epidemiology and build trust - Nature Health
As the number of observational studies continues to grow and with big data and AI use exploding, epidemiologists need better tools and best practices to produce reliable evidence and maintain public t...
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Jeremy Labrecque @jeremylabrecque.bsky.social · 27/08/2026
Results: Confidence intervals so wide they are uninformative. Conclusions: We found no evidence of an effect. Me: Ugh. Technically true but only because you found no evidence for anything. I could just as easily say your paper found no evidence for aliens.
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Jeremy Labrecque @jeremylabrecque.bsky.social · 26/08/2026
More intrigued…
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Toss @stevenspoints.bsky.social · 26/08/2026
I really cannot think of a greater honor than to have the Muppets say this about you upon your passing
Instagram post from the official Muppets account: Few humans have earned the title of honorary Muppet more than the legendary Tim Curry. As a performer he was unparalleled - witty, charming, unnerving, and deeply funny. We will always consider it one of our greatest treasures to have been part of Long John Silver’s crew. Thank you for everything, Tim.
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Scott Matla @callmescort.bsky.social · 26/08/2026
Rest in peace to a real icon
static.klipy.com
Frank N Furter Dancing - Rhps
Alt: Frank N Furter Dancing - Rhps
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Jeremy Labrecque @jeremylabrecque.bsky.social · 26/08/2026
en.wikipedia.org/wiki/Bielefe...
en.wikipedia.org
Bielefeld conspiracy - Wikipedia
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