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Georgia Tomova

@georgiatomova.bsky.social
2.2K followers 752 following 380 posts

Research Fellow at @clscohorts.bsky.social epidemiology, causal inference, methods, meta-science Subscribe to the Causal Inference Interest Group: ciig-seminar.github.io

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Reposted by Georgia Tomova
Darren Dahly @statsepi.bsky.social · 4h
They hounded Aaron Swartz to death for downloading papers from jstor but society is now supposed to just accept mass theft because this thing can write that TPS report *for* you. en.wikipedia.org/wiki/Aaron_S...
en.wikipedia.org
Aaron Swartz - Wikipedia
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Dr. Adam Stein @astein.bsky.social · 04/10/2026
Sophisticated statistics can produce extremely precise nonsense when the design fails to identify the causal mechanism.
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Georgia Tomova @georgiatomova.bsky.social · 04/10/2026
"We'll probably have flying cars in 2026" 2026: Triple-checking online stock images to make sure people don't have 7 fingers.
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Peter Tennant @pwgtennant.bsky.social · 01/10/2026
"Is an ultra-processed chocolate cake materially more harmful than a home-made one?" I enjoyed contributing to this response to The Lancet series on ultra-processed foods, which outlines some key limitations in the evidence that 'ultra-processing' is specifically harmful to health.
link.springer.com
Public health policy should be grounded in established evidence that acknowledges uncertainty: a response to The Lancet series on ultra-processed foods - BMC Medicine
Background The recent three-part Lancet series on ultra-processed foods (UPFs) argued that the displacement of traditional diets by UPFs is a major driver of poor diet quality and diet-related chronic...
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Charlotte Cavaille @ccavaille.bsky.social · 19/09/2026
Small-N assessment: AI makes everyone more productive output-wise, but I, as a senior person with prior knowledge benefit the most, while my ("junior") students struggle with actual learning. This paper proves this with a larg(er)-N causal design: www.nber.org/papers/w35720
nber.org
Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, an...
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UCL Centre for Longitudinal Studies @clscohorts.bsky.social · 10/09/2026
We're at @socsocmed.bsky.social's conference all this week, for the first time! Our cohort data are featuring across a wide range of talks and posters. If you're there, come say hi to our friendly team at our stand. @georgiatomova.bsky.social @spilleron.bsky.social
People at a conference in a historic roomTwo women with cuddly toy mascots at a conference.
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Reposted by Georgia Tomova
Per Engzell @pengzell.bsky.social · 08/09/2026
Causal inference is the art of knowing exactly why your estimate isn't causal
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Georgia Tomova @georgiatomova.bsky.social · 06/09/2026
The venue for the RSS conference this year is the Bournemouth International Centre (BIC). Nice, I always prefer BIC to AIC.
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paolo @paolopalma.bsky.social · 28/11/2024
Handshake meme depicting a drawing of two muscular men embracing each other’s hands labelled “psych measures” and “me”, respectively. The handshake is labelled “needing validation”
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Georgia Tomova @georgiatomova.bsky.social · 10/08/2026
every latent class analysis ever
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Darren Dahly @statsepi.bsky.social · 01/09/2026
For when Y = mX + b just won't do.
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Peter Tennant @pwgtennant.bsky.social · 27/08/2026
Does the new shingles vaccine (Shingrix) protect against cardiovascular disease (CVD)? Yes, according to a new 'natural experiment' study in @natmed.nature.com. But the truth is sadly far less convincing! Pull up a chair and let's examine another peer review failure in a Nature journal. 1/10 🧵
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Peter Tennant @pwgtennant.bsky.social · 18/08/2026
In nutrition research, the effect you estimate from a model is determined by which other dietary variables you adjust for. If you adjust for total energy intake, the effect will switch from an addition to a substitution. Which substitution will be determined by which other variables are adjusted.
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Georgia Tomova @georgiatomova.bsky.social · 19/08/2026
People who use the term "covariable" - why? Do you use it synonymously with "covariate"? If so, why not say "covariate"?
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UCL Centre for Longitudinal Studies @clscohorts.bsky.social · 08/07/2026
📢 Join our experts for an overview of the challenges – and opportunities – involved in making causal inferences using @clscohorts.bsky.social cohort data. Book now ➡️ buff.ly/gbWzhwh
A man and woman in a city plaza. The man is smiling as the woman looks at her phone.

Causal inference in four British cohort studies
Wednesday, 7 October 2026
12-2pm UK time
UCL Centre for Longitudinal Studies
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Georgia Tomova @georgiatomova.bsky.social · 12/08/2026
How many nutrition meta-analyses pool estimates for incomparable research questions, due to different energy adjustment strategies? We looked at an illustrative sample. The answer was all of them! Delighted to share our new meta-scientific review, led by @nataliaortega.bsky.social 👇
academic.oup.com
Meta-analyses of dietary exposures must consider energy adjustment: recommendations from a meta-scientific review
Abstract. In observational studies of dietary exposures, the energy adjustment strategy directly alters the effect being estimated. Adjusting for total ene
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Georgia Tomova @georgiatomova.bsky.social · 10/08/2026
New teaching example just dropped.
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Georgia Tomova @georgiatomova.bsky.social · 10/08/2026
Latent class associations must be retired.
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Reposted by Georgia Tomova
Jess Rohmann @jlrohmann.bsky.social · 28/07/2026
📣 Job alert: We are looking for a PhD Candidate in causal inference & health data science🔎 📍 Berlin (Responsible Health Data Analysis Team, BIH-QUEST) 📅 Starting: Oct 1, 2026 (3 years) 💼 100% E13 position 🔗 Read more and apply (deadline Aug 17): karriere.charite.de/en/job-vacan... Please share!
karriere.charite.de
PhD Candidate (all genders) BIH QUEST Center (Team “Responsible Health Data Analysis”)
full-time | 17.08.2026 | BIH Berlin Mitte
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Colleen Reynolds @colleenareynolds.bsky.social · 23/07/2026
There is a major problem with how applied health (equity) researchers think about covariate control. I often read research papers where the paper is trying to answer an important question....But the adjustment set doesn't make sense. #episky 1/3
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Georgia Tomova @georgiatomova.bsky.social · 25/07/2026
I think one of the most underrated skills of a good PhD supervisor is actively teaching you the hidden curriculum in academia.
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Julia M. Rohrer @dingdingpeng.the100.ci · 20/07/2026
New paper out now 🥳 When psychologists discuss generalisability, they often refer to vague notions of representativeness. We provide an accessible intro to the total survey error framework as a tool to reason about this more rigorously. w @taymalsalti.bsky.social @ruben.the100.ci >
Thinking Clearly About Sampling and Representation With the Total Survey Error Framework

Collecting a sample that represents the population of interest well constitutes a challenge across the social and behavioural sciences. Psychology in particular frequently relies on convenience samples—most notably students and, increasingly, online participants—with a tendency to either (implicitly) assume representativeness without substantive justification, or to acknowledge a lack of it only in passing. In contrast, researchers rarely engage with the actual implications for their inferences, which undermines the generalisability of psychological findings. Critically, representativeness must be defined with respect to variables relevant to the target of inference, rather than superficial demographic diversity. Here we present the Total Survey Error (TSE) framework as a methodological tool that systematically addresses the multifaceted sources of error—particularly those related to representation—that emerge throughout the research cycle. Although TSE originated in survey research, its principles are broadly applicable to any psychological study seeking inference from sample to population. We offer practical strategies for identifying, preventing, and mitigating representation errors to improve the credibility and generalisability of psychological research.

Illustration of the total survey error framework with the representation strand highlighted. It shows how coverage error, sampling error and non-response error arise during the sampling process.
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Scott @scottydo16.bsky.social · 19/07/2026
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Paul Pharoah @paulpharoah.bsky.social · 18/07/2026
Arsenal 4 France 3
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Georgia Tomova @georgiatomova.bsky.social · 17/07/2026
Academia is like constantly playing the final level of those games where you run a restaurant and you have 50 burgers to make and you don't manage to serve anyone before their patience depletes.
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Georgia Tomova @georgiatomova.bsky.social · 17/07/2026
“Descriptive” is a property of the research question, not the perceived quality of the results. I often see people state a study limitation and then say “therefore the results are descriptive”. You can’t do an analysis first and then use the results to define what type of study you wanted.
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Georgia Tomova @georgiatomova.bsky.social · 10/07/2026
Why is LinkedIn booming and how did we let the cringiest social media platform win?
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Will Jennings📉🗳️ @drjennings.bsky.social · 06/07/2026
This is worse than an election all-nighter...
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Carl T. Bergstrom @carlbergstrom.com · 06/07/2026
This game is everything a World Cup match should be. Wow.
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Peter Tennant @pwgtennant.bsky.social · 02/07/2026
I couldn't leave the USA without giving my DAG talk one last time! Come and join my 'farewell lecture' in New Haven (or online!) on 15th July at 4pm Eastern Time! Sign-up to attend in-person or online at: yale.zoom.us/webinar/regi...
Joke tour poster, labelled with an 'extra show' on 15th July at Yale University!
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Reposted by Georgia Tomova
Julia M. Rohrer @dingdingpeng.the100.ci · 19/06/2026
New paper out now! We (w/ @rmcelreath.bsky.social and @gregork.bsky.social) start from the observation that among adolescents in Leipzig, the gender gap in life satisfaction has doubled over time and ask: why?> link.springer.com/article/10.1...
Why Did the Gender Gap in Adolescent Life Satisfaction Grow? Evaluating Methodological and Demographic Explanations

The city of Leipzig in Germany conducts large-scale school surveys of adolescents in secondary schools. While in 2010 and 2015 girls were somewhat less satisfied than boys, in 2023 this gender gap had doubled. Why? When asking such a reverse causal question, answers often focus on broad narratives, such as the psychological impact of social media. Here, we illustrate how to probe alternative explanations, such as demographic changes and methodological issues. First, we rule out that the observed pattern is a simple scaling artifact. Second, we find that the widening of the gender gap is much more pronounced among students with a migration background. This could plausibly be explained by a shift in the composition of the underlying population, with a strong increase in the proportion of Syrian students, and a relative decrease of Vietnamese students. Third, part of the increasing gender gap could potentially be attributed to survey mode: In 2023, for the first time, the survey was conducted on tablets—and unexpectedly, girls (but not boys) reported significantly lower satisfaction when surveyed on tablet rather than on paper. Lastly, beyond these patterns, we still find significantly widening gender gaps in satisfaction with leisure time activities and relationships to friends. Thus, there may be a substantive increase in the gender gap in satisfaction in those two domains that is not readily attributable to changes in demographics and survey mode.

Plot showing mean life satisfaction among female and male adolescents over time. In general, boys show higher levels than girls; from 2010 to 2015 the lines for the two genders are pretty much parallel. In 2023, both boys and girls decline -- but girls much more so, effectively doubling the gender gap.
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Georgia Tomova @georgiatomova.bsky.social · 02/07/2026
Don’t miss this talk by @hjhansford.bsky.social on the need for and the story behind TARGET, the relevance of which is only increasing as more and more researchers are emulating target trials in observational data (or, as Harrison puts it, “claim” to be emulating target trials) 👇🏻
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Georgia Tomova @georgiatomova.bsky.social · 25/06/2026
All conferences should adopt @epidbydesign.bsky.social ‘s question rules as standard! #SER2026
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Georgia Tomova @georgiatomova.bsky.social · 25/06/2026
Staying in the conference hotel = easy access to naps
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Peter Tennant @pwgtennant.bsky.social · 24/06/2026
"Life is more than work" A phenomenal and moving presidential address from @societyforepi.bsky.social Wendy Nembhard 🥺 #SER2026
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Jason Moore @moorejh.bsky.social · 22/06/2026
Yeah, it kinda stinks
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Jeremy Labrecque @jeremylabrecque.bsky.social · 23/06/2026
In this day and age, the first two comments by the reviewers should disqualify their reviews.
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Paul Hünermund @p-hunermund.com · 22/06/2026
Science advances one retirement at a time, hopefully.
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Georgia Tomova @georgiatomova.bsky.social · 22/06/2026
Just got the following "advice" from the panel regarding my rejected funding application for a causal inference study in observational data 🙂🔫 - present results as correlational rather than causal - avoid causal language - recognise confounding and selection ...and more. It's the full bingo card!
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Georgia Tomova @georgiatomova.bsky.social · 15/06/2026
In our next seminar, Harrison Hansford will talk about the key reporting components of the TARGET guidelines, how TARGET was developed, and what comes next to improve both the reporting and conduct of studies that (claim to) emulate a target trial. 👉🏼 Register here: ucl.zoom.us/meeting/regi...
Flyer advertising the next CIIG seminar on 6th July with Harrison Hansford
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Peter Tennant @pwgtennant.bsky.social · 12/06/2026
Every UK Epi/biostats job: We seek a highly-motivated, world-leading expert in machine learning, causal inference, & linked EHR data to work on the NIHR SHITE study, our unique cohort of people aged 25-34 with IBS. You must have experience of working with linked IBS EHR data of people aged 25-34.
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Klaus Pforr @klauspforr.eurosky.social · 14/06/2026
Arent the current public, easy to use chatbot solution way too flattering and praising for real critical discourse? Can be done with the underlying models, but we need a specialized tool for that
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Georgia Tomova @georgiatomova.bsky.social · 14/06/2026
Are LLMs ever compatible with slow science? Even if they aren’t used to necessarily “produce more”, don’t they remove the friction that would normally make us stop, think, and slowly figure things out? And isn’t slow science mostly about taking the time to think?
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Jeremy Labrecque @jeremylabrecque.bsky.social · 12/06/2026
Interested in doing a PhD with me in epidemiology on causal inference and triangulation? In beautiful Rotterdam no less. www.werkenbijerasmusmc.nl/en/vacancy/1... Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
werkenbijerasmusmc.nl
Vacature: PhD student in epidemiology to develop and apply causal triangulation
Many key questions in epidemiology are fundamentally causal. Yet, we often have to rely on assumptions that cannot be directly verified to judge whether an observed association truly reflects causalit...
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Per Engzell @pengzell.bsky.social · 12/06/2026
Short story about statistical modeling without causal inference gone badly wrong. Just head on the news that preschoolers play 15 minutes less on rainy days. The reporting stressed that the research was "associational" and therefore couldn't tell us why. Huh? 1/
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Georgia Tomova @georgiatomova.bsky.social · 09/06/2026
The ultimate get-out-of-jail-free card
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Georgia Tomova @georgiatomova.bsky.social · 08/06/2026
The youngest subscriber to the Causal Inference Interest Group 🥹
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Julia M. Rohrer @dingdingpeng.the100.ci · 08/06/2026
Now that's what I call a spicy opeing: Understanding mechanisms is not a research question.
"Understanding Mechanisms?"
"Understanding" is not a research question
- how do you verify understanding?
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Georgia Tomova @georgiatomova.bsky.social · 01/06/2026
DON'T MISS this seminar next week. It will *not* be recorded! 👇
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