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?...

CIIG Seminar: Julia Rohrer | Making Rigorous Causal Inference More Mainstream | 20 Oct 2025

YouTube video by the Causal Inference Interest Group (CIIG)

youtu.be

Julia M. Rohrer@dingdingpeng.the100.ci · 12mo ago

Happy to announce that I'll give a talk on how we can make rigorous causal inference more mainstream 📈 You can sign up for the Zoom link here: tinyurl.com/CIIG-JuliaRo...

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

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...

journals.sagepub.com

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

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...

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

ggplot2 4.0.0

A new major version of ggplot2 has been released on CRAN. Find out what is new here.

tidyverse.org

💡 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...

🎯 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

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

W. Joel Schneider@w-joel-schneider.bsky.social · last yr.

Now on CRAN, ggdiagram is a #ggplot2 extension that draws diagrams programmatically in #Rstats. Allows for precise control in how objects, labels, and equations are placed in relation to each other. wjschne.github.io/ggdiagram/ar...

{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...

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

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...

acpjournals.org

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

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

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...

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...

thebritishacademy.ac.uk

A helpful framework for evaluating software dependencies: Ubiquity Stability Depth Ergonomics Watertightness

Dirk Eddelbuettel@eddelbuettel.com · last yr.

"One of the biggest fallacies in coding is that dependencies have zero downsides." Best opening line in a while, more at the full post the link below. #rstats #tinyverse lewiscampbell.tech/blog/250718....

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

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...

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.

elevanth.org

#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...

Parallel processing in purrr 1.1.0

The functional programming toolkit for R gains new capabilities for parallel processing and distributed computing using mirai.

tidyverse.org

{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/

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

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...

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...

the100.ci

YYYY-MM-DD OR NOTHING AT ALL

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/

Functional Programming Tools

A complete and consistent functional programming toolkit for R.

purrr.tidyverse.org

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

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...

casualinfer.libsyn.com

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

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...

arxiv.org

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...

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

lshtm.ac.uk

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

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.

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

🎙️ 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...

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 ...

casualinfer.libsyn.com

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/...