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Ewan Carr

@ewancarr.bsky.social
191 followers 146 following 12 posts

Reader in Biostatistics, Biostatistics and Health Informatics, King’s College London. He/him.

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Reposted by Ewan Carr
Julia M. Rohrer @dingdingpeng.the100.ci · 21/10/2025
The recording is now available so that you can confirm that I indeed have a German accent and color-match my outfits with my Zoom background. youtu.be/YL0co26ng-g?...
youtu.be
CIIG Seminar: Julia Rohrer | Making Rigorous Causal Inference More Mainstream | 20 Oct 2025
YouTube video by the Causal Inference Interest Group (CIIG)
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Andrew Bell @andrewjdbell.bsky.social · 22/10/2025
Pleased to see this out in print - detailing MAIHDA's desirable statistical properties. "MAIHDA is especially valuable when inequalities are subtle or data for marginalised intersections are sparse - conditions common in practice" journals.sagepub.com/doi/10.1177/... @clarerevans.bsky.social
journals.sagepub.com
The Statistical Advantages of Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy for Estimating Intersectional Inequalities - George Leckie, Andrew Bell, Juan Merlo, SV Subram...
Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) is a multilevel regression approach grounded in intersectionality theory. I...
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Emil Hvitfeldt @emilhvitfeldt.bsky.social · 24/09/2025
I'm exited to announce a new resource about making slides with quarto and revealjs. This book is the combination of all the work I have done in this area, reordered and polished up There isn't a lot of new information yet, but this format allows me to add more easily slidecrafting-book.com #quarto
Screenshot of first page of slidecrafting-book.com website
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Joel Pick @joelpick.bsky.social · 15/09/2025
Interested in simulating the kind of data that you might commonly find in evolutionary and ecological studies? Then we have the R package for you - squidSim!! Check our new preprint: ecoevorxiv.org/repository/v...
ecoevorxiv.org
squidSim: a flexible R package for structured and reproducible simulations in Ecology and Evolutionary Biology
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Thomas Lin Pedersen @thomasp85.com · 11/09/2025
I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN. It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package. Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats
tidyverse.org
ggplot2 4.0.0
A new major version of ggplot2 has been released on CRAN. Find out what is new here.
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LMU Open Science Center @lmu-osc.bsky.social · 10/09/2025
💡 Explore how practices from distributed, open-source software can make science more professional, open, and collaborative! Attend the “Science as amateur software development” lecture by Prof. Dr. @rmcelreath.bsky.social on Wed 17 Sept, 9:00. 👉 Register here: www.pretix.osc.lmu.de/lmu-osc/OSSS...
Promotional poster for the LMU Open Science Center Summer School 2025 Public Lecture. The poster features a photo of speaker Prof. Dr. Richard McElreath. The text states the lecture focuses on science as amateur software development, time and date of lecture being 9:00-10:00 CEST on Wednesday September 17 2025, and instructions to register online. Logos of LMU Open Science Center, LMU, and Universitätsbibliothek München are displayed at the bottom.
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hjhansford.bsky.social @hjhansford.bsky.social · 03/09/2025
🎯 TARGET Guideline published 🎉 TARGET is a reporting guideline for observational studies of interventions that use the target trial framework. Over 3 years the @TARGETGuideline was rigorously developed and was co-published today in @jama.com & @bmj.com doi.org/10.1001/jama.2025.13350 #episky
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travis gerke @travisgerke.bsky.social · 20/08/2025
This is extremely cool. Picked it up and made this DAG in like 15 minutes. Obviously pros/cons versus other DAG tools (e.g. low/no code cstructure and R's ggdag, both of which offer d-separation details and more) but if you have rigid aesthetic requirements this is a great tool to have in your kit
a DAG representing selection bias produced with ggdiagram
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Ian Hussey @ianhussey.mmmdata.io · 18/08/2025
{truffle} is an R package for teaching users to process data. Semi-realistic psychological datasets with predetermined effects (via `truffles_` functions) are then hidden in common data processing headaches (via `dirt_` functions) for students to clean and analyze. mmmdata.io/posts/2025/0...
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Nan van Geloven @gelovennan.bsky.social · 11/08/2025
New paper in @annalsofim.bsky.social "50 ways to misinterpret clinical prediction models for treatment decisions” --> Published version: www.acpjournals.org/doi/10.7326/... --> Open access version: arxiv.org/pdf/2402.17366
acpjournals.org
The Risks of Risk Assessment: Causal Blind Spots When Using Prediction Models for Treatment Decisions | Annals of Internal Medicine
Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who have already receiv...
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Ewan Carr @ewancarr.bsky.social · 24/07/2025
Running a workshop tomorrow on reproducible workflows in R at the King's Open Research Summer School. 📽️ Slides: ewancarr.github.io/reproducible-r 👩‍💻 Practical: ewancarr.github.io/reproducible-r/practical Mildly terrified that Git on Windows will be my downfall—but we'll see. 😅 #rstats #opensci
ewancarr.github.io
Reproducible workflows in R
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Frank Harrell @f2harrell.bsky.social · 24/07/2025
New blog article on Statistical Thinking: confidence limits for bootstrap overfitting-corrected predictive performance measures for regression models, useful for strong internal validations including confidence bands for debiased calibration curves: fharrell.com/post/bootcal #statistics #StatsSky
fharrell.com
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Hetan Shah @hetanshah.bsky.social · 23/07/2025
We are offering up to £10k for researchers to upgrade their skills - e.g. in AI/machine learning; or a language; or something else! Think about it over the summer and apply by early October www.thebritishacademy.ac.uk/funding/tale...
thebritishacademy.ac.uk
Talent Development Awards 2025-26
The Talent Development Awards are available to promote the acquisition and advancement of skills in relevant areas by UK-based researchers, promoting innovative research methods, be that through skill...
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Ewan Carr @ewancarr.bsky.social · 18/07/2025
A helpful framework for evaluating software dependencies: Ubiquity Stability Depth Ergonomics Watertightness
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RoSE Network @rosenetwork.bsky.social · 14/07/2025
Do you teach statistics, or do you conduct research about teaching statistics? The RoSE e-Conference on July 31st has sessions for you! Join our Statistics Pedagogy special interest group talks by registering for free here: bit.ly/roseconferen... #StatsEd #statistics #conferences
RoSE's 2025 e-Conference Special Interest Group Talks: 

- Presenting the Yet Another Conceptual Understanding of Statistics Assessment (YACUSA)

- Statistics across the Curriculum: Integrating Applied Analytics in to Large General Education Courses

- Enhancing Statistics Learning Through Mindfulness
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 09/07/2025
How can we reform science? I have some ideas. But I am not sure you’ll like them, because they don’t promise much. elevanth.org/blog/2025/07...
elevanth.org
Which Kind of Science Reform
What hope is there for science reform, if we can't agree on what to reform? Right now, principles are more important than practices.
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Charlie Gao @shikokuchuo.net · 10/07/2025
#tidyverse purrr 1.1.0 is out - now with parallel processing! Scale your #rstats map operations reliably and efficiently across multiple cores and even distributed systems. Powered by the mirai framework, this unlocks new levels of performance. Read more at: www.tidyverse.org/blog/2025/07...
tidyverse.org
Parallel processing in purrr 1.1.0
The functional programming toolkit for R gains new capabilities for parallel processing and distributed computing using mirai.
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Vincent Arel-Bundock @vincentab.bsky.social · 03/07/2025
{tinytable} is a dead simple, ultra-flexible, and dependency-free #Rstats 📦 to turn data frames into beautiful tables: html, word, pdf, latex, typst, markdown, etc. v0.10.0 has cool new features and important bug fixes. Check out the detailed tutorials at: vincentarelbundock.github.io/tinytable/
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Julia Evans @b0rk.jvns.ca · 24/06/2025
delighted to announce that my new zine "The Secret Rules of the Terminal" is out today!! You can get it for $12 USD here: wizardzines.com/zines/terminal
The Secret Rules of the Terminal, by Julia Evans - The cover illustration depicts three people doing arcane terminal magic in a temple with a smoking censer in the background. Each of the three people has curly brown hair and light brown skin. They are all wearing dresses, billowing cloaks, and utility belts with keyboard symbols on them. The one on the left holds a palette of paints and a brush. The one on the right has a staff with a $ symbol on it and a starfish at the top. The one in the centre has a sword and is reading from a book whose cover says “>_” and “./”, which rests on a lectern with a smiling snake wrapped around it.
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Julia M. Rohrer @dingdingpeng.the100.ci · 25/06/2025
New blog post! Let's say you've measured two variables repeatedly and want to investigate how one affects the other over time. Here are some recommendations for how to do that well. www.the100.ci/2025/06/25/r...
the100.ci
Reviewer notes: So you’re interested in “lagged effects.”
In some fields, researchers who end up with time series of two variables of interest (X and Y) like to analyze (reciprocal) lagged effects between them. Does X affect Y at a later point in time, and d...
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Damien C-C @dccc-phd.bsky.social · 24/06/2025
YYYY-MM-DD OR NOTHING AT ALL
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Charlie Gao @shikokuchuo.net · 13/06/2025
Bleeding edge update for the #tidyverse purrr package with even more seamless #rstats parallel maps. Introducing our shiniest new adverb: `in_parallel()`. Just wrap your function to take advantage of blazing fast parallel processing via mirai. pak::pak("tidyverse/purrr") purrr.tidyverse.org/dev/
purrr.tidyverse.org
Functional Programming Tools
A complete and consistent functional programming toolkit for R.
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Andrew Heiss @andrew.heiss.phd · 29/05/2025
I'm on a podcast! I had a blast talking with @lucystats.bsky.social and @epiellie.bsky.social on @casualinfer.bsky.social! We cover all sorts of fun things: {marginaleffects}, defining estimands, fixed vs. random effects, & how to teach all this stats stuff in accessible ways #databs #EpiSky #rstats
casualinfer.libsyn.com
Casual Inference: The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent’s “What is your estimand” s...
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Richard Riley (R²) @richarddriley.bsky.social · 12/02/2025
Just published a couple of pre-prints for those interested in sample size calculations for precise and fair individual-level predictions ... (not the end of the story, but a useful contribution we hope): Binary outcomes: arxiv.org/abs/2407.09293 Survival outcomes: arxiv.org/abs/2501.14482
arxiv.org
A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes
When developing a clinical prediction model, the sample size of the development dataset is a key consideration. Small sample sizes lead to greater concerns of overfitting, instability, poor performanc...
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Jonathan Bartlett @jonathan-bartlett.bsky.social · 13/05/2025
Join us on 10th June (online or in London @lshtm-dash.bsky.social ) to hear from Matthew Sperrin talk about his work on 'Prediction under intervention: challenges and trade-offs'.More details at www.lshtm.ac.uk/newsevents/e...
lshtm.ac.uk
Prediction under intervention: challenges and trade-offs | LSHTM
Causality and prediction are often two separate activities. In particular, prediction can be done in a way that is agnostic to underlying knowledge, mechanism or causal structure. However, it is very
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Marion Campbell @marionkcampbell.bsky.social · 05/05/2025
This week saw the publication of SPIRIT 2025, a major update to the international SPIRIT Statement which provides guidance on what should be included in a trial protocol. 1/6 #MethodologyMonday #117
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Andrew Heiss @andrew.heiss.phd · 08/05/2025
On the verge of declaring defeat with chatgpt in my asynchronous online dataviz class. Something changed this semester compared to past ones and SO MANY assignments are essentially 100% LLM output.
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Essex Summer School in Social Science Data Analysis @essexsummerschool.bsky.social · 11/04/2025
Multilevel Models: Practical Applications Curious about multilevel modelling but not sure where to start? Learn to recognise, build & interpret multilevel models using MLwiN or R, through real-world examples & hands-on practice. Find out more: bit.ly/3Yj5I4f #ESS2025
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Casual Inference Podcast @casualinfer.bsky.social · 25/04/2025
🎙️ On this week’s episode @vincentab.bsky.social joins to chat with @epiellie.bsky.social & @lucystats.bsky.social about making statistical model output more meaningful via the {marginaleffects} package (and more!) casualinfer.libsyn.com/site/from-mo...
casualinfer.libsyn.com
Casual Inference: From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy. Vincent's website: Vincent's book "Model to Meaning: How ...
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Maarten van Smeden @maartenvsmeden.bsky.social · 24/03/2025
PROBAST+AI is out! A risk of bias tool for prediction models developed using any kind of analytical approach (stats/ml/ai/ds) Really proud of this collaboration with many prediction model experts around the world www.bmj.com/content/388/...
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Julia M. Rohrer @dingdingpeng.the100.ci · 20/03/2025
New blog post! In which I explain the issue with mediation analysis and sketch out one way to deal with the underlying causal inference problem -- in just a bit over 1,000 words! If you have never found the time to read up on this, now is your chance. www.the100.ci/2025/03/20/r...
the100.ci
Reviewer notes: That’s a very nice mediation analysis you have there. It would be a shame if something happened to it.
Mediation analysis has gotten a lot of flak, including classic titles such as “Yes, but what’s the mechanism? (Don’t expect an easy answer)” (Bullock et al., 2010), “What mediation analysis can (not) ...
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Richard Riley (R²) @richarddriley.bsky.social · 19/03/2025
Delighted to announce the full MEMTAB programme is now available to view : uobevents.eventsair.com/memtab-2025/... Includes all the invited speakers & accepted oral contributions ... and the 3 short courses. It's going to be a great event! (FYI only 1-2 places remain available for registration)
uobevents.eventsair.com
Programme - MEMTAB 2025
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Ben Van Calster @benvancalster.bsky.social · 12/03/2025
We tried to look at ways to obtain flexible calibration plots in clustered (e.g. multicenter) validation studies. Work with @lasaibarrenada.bsky.social @laurewynants.bsky.social @bavodccampo.bsky.social arxiv.org/abs/2503.08389
arxiv.org
Clustered Flexible Calibration Plots For Binary Outcomes Using Random Effects Modeling
Evaluation of clinical prediction models across multiple clusters, whether centers or datasets, is becoming increasingly common. A comprehensive evaluation includes an assessment of the agreement betw...
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ADHD Remote Technology (ART), King’s College London @adhd-remote-tech.bsky.social · 11/03/2025
Are you a 16-17-year-old with ADHD in the UK, or do you work with young people this age? We are recruiting for ART-transition, a project aiming to improve our understanding of the transition to adulthood in young people with #ADHD. If this interests you, get in contact at art-transition@kcl.ac.uk.
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Gaël Varoquaux @gaelvaroquaux.bsky.social · 10/03/2025
🔥🎉New library: boosting for survival analysis, including multiclass (competing risks) Survival = missing outcomes because limited observation window (common in medicine, marketting...) soda-inria.github.io/hazardous Gives very fast boosted-trees for survival
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Max kuhn @topepo.bsky.social · 27/02/2025
Check out what's new in #rstats tidymodels in our Q1 digest post! If you use parallel processing a lot with tidymodels, please give this a look. www.tidyverse.org/blog/2025/02...
tidyverse.org
Q1 2025 tidymodels digest
A summary of the goings on for the tidymodels group in later 2024 and early 2025.
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Ewan Carr @ewancarr.bsky.social · 26/02/2025
Interested in a career in statistical modelling and health informatics? Join the ASMHI MSc at King's College London! 🚀 Hands-on training in applied statistics, machine learning and AI using real-world data 🎯 Gain essential skills for research, healthcare and industry www.kcl.ac.uk/study/postgr...
kcl.ac.uk
Applied Statistical Modelling & Health Informatics
This course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques.
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Ewan Carr @ewancarr.bsky.social · 24/02/2025
🥳
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Marion Campbell @marionkcampbell.bsky.social · 24/02/2025
This past month has seen the publication of a couple of new helpful papers providing further insights into the thorny issue of #MultipleTesting in trials 1/7 #MethodologyMonday #112
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Ewan Carr @ewancarr.bsky.social · 21/02/2025
A new formatter for R code 😍 www.tidyverse.org/blog/2025/02...
tidyverse.org
Air, an extremely fast R formatter
We are thrilled to announce Air, a new R formatter.
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Nick Clark 💹 @njclark.bsky.social · 19/02/2025
The latest release of the {mvgam} #rstats 📦 has hit CRAN. Plenty of exciting new features including Joint Species Distribution Models, support for the full range of Gaussian Process kernels available in the {brms} 📦 and plenty more nicholasjclark.github.io/mvgam/news/i...
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Richard Riley (R²) @richarddriley.bsky.social · 13/02/2025
**NEW BMJ PAPER** "Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches" - most models provide just a risk estimate - we argue for presenting associated uncertainty too - includes pros, cons, PPIE & methods Hope helpful! www.bmj.com/content/388/...
bmj.com
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
Clinical prediction models estimate an individual’s risk (probability) of a health related outcome to help guide patient counselling and clinical decision making. Most models provide a single point es...
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Gary Collins @gscollins.bsky.social · 05/02/2025
NEW PAPER in @bmj.com "FUTURE-AI: international consensus guideline for trustworthy and deployable #artificialintelligence in healthcare" from design, development, validation to regulation, deployment & monitoring www.bmj.com/content/388/... #StatsSky #MLSky #MedSky
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Julia M. Rohrer @dingdingpeng.the100.ci · 22/01/2025
Go, shorty: New blog post! (How) should you interpret pre-post differences in a randomized study? In which we introduce a new format, "reviewer notes" -- points that occasionally need to be made during the peer-review process. www.the100.ci/2025/01/22/r...
the100.ci
Reviewer notes: In a randomized experiment, the pre-post differences are not effect estimates
Reviewer notes are a new short format with brief explanations of basic ideas that might come in handy during (for example) the peer-review process. They are a great way to keep Julia from writing 10,0...
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Maarten van Smeden @maartenvsmeden.bsky.social · 23/12/2024
Let us start 2025 in a positive mood: here are 10 methods things researchers can worry *less* about in 2025
media.tenor.com
a countdown clock with the number 10 in the center
ALT: a countdown clock with the number 10 in the center
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Laure Wynants @laurewynants.bsky.social · 20/12/2024
We have two vacancies for a postdoctoral and PhD researcher at Maastricht University. They will work on the development and application of value-of-information methods for the validation of clinical risk prediction models and medical AI. links below
vacancies.maastrichtuniversity.nl
PhD in Epidemiology on value-of-information from validating clinical prediction models and AI
PhD in Epidemiology on value-of-information from validating clinical prediction models and AI
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Ben Van Calster @benvancalster.bsky.social · 16/12/2024
New work in preprint! "Performance evaluation of predictive AI models to support medical decisions: Overview and guidance". Under the wings of the STRATOS initiative. But @maartenvsmeden.bsky.social said it better already 😜 arxiv.org/abs/2412.10288
arxiv.org
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predi...
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Katie Corker @katiecorker.bsky.social · 13/12/2024
A book that I published a chapter in a couple of years back has been made fully OA, thanks to an anonymous donor. My chapter, "An Open Science Workflow for More Credible Rigorous Research" is here: www.cambridge.org/core/books/p...
cambridge.org
An Open Science Workflow for More Credible, Rigorous Research (Chapter 11) - The Portable Mentor
The Portable Mentor - August 2022
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Kristoffer Magnusson @rpsychologist.com · 11/12/2024
Introducing PowerLMM.js! A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests. powerlmmjs.rpsychologist.com Would really appreciate your feedback as I refine this app! Details below 🧵👇
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Institute of Psychiatry, Psychology & Neuroscience @kingsioppn.bsky.social · 10/12/2024
New IoPPN research is dedicated to the memory of co-author Professor Peter McGuffin. Led by Ewan Carr + Raquel Iniesta, the study explores how repeated symptom assessments can enhance predictions of antidepressant treatment response in patients with depression onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
Optimizing the Prediction of Depression Remission: A Longitudinal Machine Learning Approach
Decisions about when to change antidepressant treatment are complex and benefit from accurate prediction of treatment outcome. Prognostic accuracy can be enhanced by incorporating repeated assessment...
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