damiano cerasuolo's Avatar

damiano cerasuolo

@damiacer.bsky.social

medicinæ doctor in public health/biostatistics. statistics, #rstats, #clinicalresearch, photography and random stuff. caen, paris and rome mastodon: https://scholar.social/@damiacer github/io: damiacer.github.io

60 Followers  |  55 Following  |  68 Posts  |  Joined: 12.10.2023  |  1.7194

Latest posts by damiacer.bsky.social on Bluesky

Preview
Fact checking Moravec's paradox This famous aphorism is neither true nor useful

A nice illustration of collider bias, in case anybody needs one. And it's about AI! What's not to love!?
@dingdingpeng.the100.ci
@p-hunermund.com

30.01.2026 08:14 — 👍 1    🔁 3    💬 0    📌 0

(in the US. Where else?)

25.01.2026 12:29 — 👍 0    🔁 0    💬 0    📌 0
Preview
Understanding Basis Spline (B-spline) By Working Through Cox-deBoor Algorithm | Everyday Is A School Day I finally understood B-splines by working through the Cox-deBoor algorithm step-by-step, discovering they're just weighted combinations of basis functions that make non-linear regression linear. What ...

I finally understood B-splines by working through the Cox-deBoor algorithm step-by-step, discovering they’re just weighted combo of basis functions that make non-linear regression linear. What surprised me is going through Bayesian statistics helped me understand the engine behind the model! #rstats

04.06.2025 00:44 — 👍 59    🔁 9    💬 2    📌 3

On the plus side, LLMs also reduce barriers for non-native speakers, facilitate the discovery of prior literature, and remove traditional signals of scientific quality such as language complexity. www.science.org/doi/10.1126/...

29.12.2025 08:33 — 👍 49    🔁 9    💬 3    📌 1

Hélas, I can relate. I’ve never thought that my accent is “charmant”.

04.12.2025 21:31 — 👍 0    🔁 0    💬 0    📌 0
How post-hoc power calculation is like a shit sandwich | Statistical Modeling, Causal Inference, and Social Science

A periodic reminder in #statistics:

16.11.2025 22:56 — 👍 4    🔁 0    💬 0    📌 0
High-dimensional model choice. A hands-on take High-dimensional model selection with the modelSelection R package

📘 An interesting initial book release by David Rossell on variable and model selection:

👉 davidrusi.github.io/modelSelecti...

it provides accessible material for students learning the fundamentals of high-dimensional model selection, and it documents the R package modelSelection (formerly mombf).

23.10.2025 07:59 — 👍 7    🔁 3    💬 0    📌 0
Post image

Fred Ramsdell, who received the Nobel Prize for Physiology or Medicine yesterday for work on immunology, hasn't been informed of his win as he's "off the grid" hiking, and can't be contacted.

www.theguardian.com/science/2025...

07.10.2025 10:29 — 👍 921    🔁 113    💬 28    📌 23

Data visualisation using R, for researchers who don’t use R by Emily Nordmann, Phil McAleer, Wilhelmiina Toivo, Helena Paterson and Lisa DeBruine
#RStats
https://bigbookofr.com/chapters/data%20visualization.html#data-visualisation-using-r-for-researchers-who-dont-use-r

06.10.2025 12:46 — 👍 1    🔁 1    💬 0    📌 0

Same here. That was really easy to guess, it’s true 😅

06.10.2025 11:20 — 👍 0    🔁 0    💬 0    📌 0
Elucidating some common biases in randomized controlled trials
using directed acyclic graphs

Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer
from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion
about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trial’s specific
imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections,
such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total
treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable
outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained

Elucidating some common biases in randomized controlled trials using directed acyclic graphs Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trial’s specific imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections, such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained

Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out

Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out

An example DAG from the paper.
Fig. 4: A blinded trial with noncompliance.

U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.

An example DAG from the paper. Fig. 4: A blinded trial with noncompliance. U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.

Just finished reading this *excellent* article by Gabriel et al. which discusses which effects can be identified in randomized controlled trials. With DAGs!>

link.springer.com/article/10.1...

02.10.2025 08:09 — 👍 114    🔁 24    💬 4    📌 1
Preview
Positron for RStudio Users: A Gentle Introduction, Thu, Oct 9, 2025, 6:00 PM | Meetup Curious about Positron, the new open-source data science IDE from Posit? This session will walk RStudio users through the basics of Positron, highlight familiar features, a

🚀 Curious about Positron, Posit’s new open-source IDE?

This session shows RStudio users the basics, what’s new, and how it fits your workflow with @ivelasq3.bsky.social (Posit, PBC)

#RStats #DataScience #Positron #rladies

Thursday 09 October, 11am CT | 6:00 PM CAT

www.meetup.com/rladies-gabo...

22.09.2025 14:18 — 👍 42    🔁 18    💬 3    📌 2

Europe thinks that free and private communication is not a fundamental right.

19.09.2025 10:15 — 👍 0    🔁 0    💬 0    📌 0
Overview of current support and opposition for the Chat Control legislation by Patrick Breyer (https://www.patrick-breyer.de/en/posts/chat-control/). Countries opposing include the Netherlands, Belgium, Luxembourg, Austria, Czech Republic, Poland, Slovakia, Finland, and Estonia. Undecided countries are Germany, Slovenia, Romania, and Greece. All remaining member states supports Chat Control.

Overview of current support and opposition for the Chat Control legislation by Patrick Breyer (https://www.patrick-breyer.de/en/posts/chat-control/). Countries opposing include the Netherlands, Belgium, Luxembourg, Austria, Czech Republic, Poland, Slovakia, Finland, and Estonia. Undecided countries are Germany, Slovenia, Romania, and Greece. All remaining member states supports Chat Control.

Germany's position has been reverted to UNDECIDED.

Despite expressing concerns about breaking end-to-end encryption, Germany refrained from taking a definitive stance on the Chat Control proposal during the September 12th LEWP meeting. A willingness to negotiate and compromise remains.

16.09.2025 16:51 — 👍 376    🔁 350    💬 9    📌 30
A Deep Dive Into DifferentialEquations.jl | JuliaCon Global 2025 | Rackauckas, Smith
YouTube video by The Julia Programming Language A Deep Dive Into DifferentialEquations.jl | JuliaCon Global 2025 | Rackauckas, Smith

DifferentialEquations.jl is many things, and lots of people only use a small portion of it. Check out the JuliaCon 2025 workshop: introduces many aspects of the packages that the developers feel are underutilized and under-understood!

#julialang #sciml

www.youtube.com/watch?v=lSGF...

19.09.2025 08:06 — 👍 11    🔁 3    💬 0    📌 0

catholic church: always on the right side of the history 🙄

[pope leo XIV says that the holy see doesn’t pronounce the word g3nocid3]

19.09.2025 08:21 — 👍 1    🔁 0    💬 0    📌 0

The anti-autocracy handbook: how scientists can cope with democratic backsliding. This guide is a call to action, resilience, and collective defence of #democracy and #academicfreedom in the face of mounting authoritarianism zenodo.org/records/1569... @EU_Commission

21.08.2025 10:23 — 👍 31    🔁 18    💬 0    📌 3
Preview
A Bayesian Hierarchical Mixture Cure Modelling Framework to Utilize Multiple Survival Datasets for Long‐Term Survivorship Estimates: A Case Study From Previously Untreated Metastatic Melanoma Time to an event of interest over a lifetime is a central measure of the clinical benefit of an intervention used in a health technology assessment (HTA). Within the same trial, multiple end-points m...

Bayesian Hierarchical Mixture Cure Modelling Framework to Utilize Multiple Survival Datasets for Long-Term Survivorship Estimates #stats

02.06.2025 07:20 — 👍 1    🔁 0    💬 0    📌 0
Preview
Revealed: Big tech’s new datacentres will take water from the world’s driest areas Amazon, Google and Microsoft are building datacentres in water-scarce parts of five continents

Any potential gain from a switch to renewables and tech-heavy futures is inevitably undone if the underlying system of extractivist colonial enterprises and growth at all costs remains unchanged. The suffering just gets shifted to new places.
www.theguardian.com/environment/...

09.04.2025 13:04 — 👍 68    🔁 25    💬 1    📌 1
Preview
Bill Gates: Within 10 years, AI will replace many doctors and teachers—humans won't be needed 'for most things' A new era of "free intelligence" powered by AI will change the way humans work, says billionaire Microsoft co-founder Bill Gates.

AI’s anwers are still so biases and prompt-dependent, I don’t see how it could replace humans. www.cnbc.com/2025/03/26/b...

28.03.2025 07:59 — 👍 2    🔁 0    💬 0    📌 0

#r code written by AI seems to be unnecessarily complicate.

21.03.2025 16:45 — 👍 0    🔁 0    💬 0    📌 0
Alluvial diagram showing growth form patterns across palm subfamilies. The visualization flows from left to right, connecting palm subfamilies (Arecoideae, Calamoideae, Ceroxyloideae, and Coryphoideae) to growth forms (Erect, Non-erect, and both) to stem types (Solitary Stem, Clustered Stems, and both). The diagram reveals distinctive patterns: Arecoideae palms show diverse growth habits, Calamoideae are predominantly erect with clustered stems, Ceroxyloideae show a mix of growth forms, and Coryphoideae are mainly non-erect with solitary stems. The flow width represents the percentage of species with each characteristic.

Alluvial diagram showing growth form patterns across palm subfamilies. The visualization flows from left to right, connecting palm subfamilies (Arecoideae, Calamoideae, Ceroxyloideae, and Coryphoideae) to growth forms (Erect, Non-erect, and both) to stem types (Solitary Stem, Clustered Stems, and both). The diagram reveals distinctive patterns: Arecoideae palms show diverse growth habits, Calamoideae are predominantly erect with clustered stems, Ceroxyloideae show a mix of growth forms, and Coryphoideae are mainly non-erect with solitary stems. The flow width represents the percentage of species with each characteristic.

📊 #TidyTuesday – 2025 W11 | Palm Trees
.
🔗: stevenponce.netlify.app/data_visuali...
.
#rstats | #r4ds | #dataviz | #ggplot2

18.03.2025 01:31 — 👍 15    🔁 2    💬 0    📌 0
Preview
Preprint sites bioRxiv and medRxiv launch new era of independence The popular repositories, where life scientists post research before peer review, will be managed by a new organization called openRxiv.

bioRxiv and medRxiv will be managed by a new organization called openRxiv. www.nature.com/articles/d41...

11.03.2025 21:26 — 👍 1    🔁 0    💬 0    📌 0
Preview
2025 - ESMARConf

The Evidence Synthesis and Meta-Analysis in R Conference (ESMARConf) is back! It will be held June 11th to the 13th, 2025: esmarconf.org/2025/

Recordings of the talks and workshops from previous years can be found here: esmarconf.org/recordings/

#ESMARConf #MetaAnalysis #EvidenceSynthesis #RStats

06.03.2025 08:45 — 👍 14    🔁 9    💬 0    📌 0
Post image

Just a reminder for anyone who receives SPSS, Stata, or SAS files but does not have licenses for these programs (🙋), you can import any of these files into #rstats and work them! My favorite package for working with these files is {haven}.
haven.tidyverse.org

04.03.2025 21:01 — 👍 114    🔁 22    💬 3    📌 0

Now that we've cut all US foreign aid, we can at least spend that money on helping people in need here at home, for example by gambling on crypto to support our Great Patriot Bag Holders

02.03.2025 17:49 — 👍 218    🔁 20    💬 5    📌 0
Preview
Integrating the environmental and genetic architectures of aging and mortality - Nature Medicine Based on a systematic analysis of environmental exposures associated with aging and mortality in the UK Biobank, the relative contributions of such exposures and genetic risk for mortality and a range...

study led by researchers from Oxford Population Health has shown that environmental factors (i.e. smoking and physical activity) and living conditions have a greater impact on health and premature death than our genes. #health #medicine www.nature.com/articles/s41...

27.02.2025 19:46 — 👍 0    🔁 0    💬 0    📌 0
Preview
How a theory about maleness could explain the state of the world Feedback is intrigued by a theory arguing that when maleness is threatened, men overcompensate with increased support for war and homophobia – and interest in SUVs

Feedback is intrigued by a theory arguing that when maleness is threatened, men overcompensate with increased support for war and homophobia – and interest in SUVs

27.02.2025 12:31 — 👍 6    🔁 7    💬 2    📌 0

Oui ! J’aime me moquer des gens qui on une voix, un « pouvoir ». J’aime moins faire de l’humour sur des gens qui vont moins bien.

Par contre, les informations que je vous ai données, elles sont correctes. Je m’attends que vous en tiriez quelque chose en tant que journaliste scientifique :)

27.02.2025 11:57 — 👍 0    🔁 0    💬 1    📌 0

(d’ailleurs, sur la LCA, c’était de l’ironie eh. Il ne faut pas lire ça au premier degré ;))

27.02.2025 11:53 — 👍 0    🔁 0    💬 1    📌 0

@damiacer is following 20 prominent accounts