Idea for a Christmas BMJ paper: submit loads of Christmas BMJ papers, then do a survival analysis of time to rejection. Then submit the survival analysis as a Christmas BMJ paper the following year

This commentary by John B. Carlin expresses many of the concerns that I have always had with 'prognostic factor (finding) studies' and the (weird) definition of 'independent predictors': doi.org/10.1016/j.jc...

There are lots of professional data repositories to share your data (see www.re3data.org) - if you want to share the code as well you can push to github and archive it on zenodo with a DOI.

The distinction between causal, predictive, and descriptive research—there is still room for improvement - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...

Great experience with a novel format of an invited session of #stratos TG2 @biometricsociety.bsky.social Austro-Swiss region meeting (ROeS 2025 Graz) (1/n)

#ISCB46 very nice talk by Michael Kammer on COVID-19 prognostic models, which involved a ‘deep dive’ into the pond life of modelling. Bottom line: “If looking for reliable models, don’t hold your breath.”

Published: the paper 'On the uses and abuses of Regression Models: a Call for Reform of Statistical Practice and Teaching' by John Carlin and Margarita Moreno-Betancur in the latest issue of Statistics in Medicine onlinelibrary.wiley.com/doi/10.1002/... (1/8)

This is taking statistical education to the next level: www.youtube.com/watch?v=pZTL... by Rafael de Andrade Moral, Maynooth University

Continuing our #BlackHistoryMonth series, we celebrate Sean Simpson, Professor of Biostatistics & Data Science, for his contributions to neuroimaging analysis, repeated measures, & covariance modeling. Outside of work, he enjoys time with his wife, statistician Felicia, and their daughter Sophia.

It's amazing how far back ideas go. This paper from 1984 by @f2harrell.bsky.social discusses the need for train/test data splits and the importance of assessing model calibration and discrimination and instability in variable selection methods. onlinelibrary.wiley.com/doi/epdf/10....

Five years ago @laurewynants.bsky.social and I started this living review. Within 1 year we reviewed >700 prediction models for COVID and we found many to be poor and decided to stop reviewing. Many external validation studies followed confirming many indeed were poor www.bmj.com/content/369/...

I was just wondering what would have happened if the development had been the other way around. If machine learning had existed beforehand and regression analysis had only been invented afterwards.

I can’t count how many of Ian White’s papers have improved my practice of #Statistics. #StatsSky

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

Another exciting STRATOS session at #IBC2024ATL

Statistical Thinking Across Borders: Building Bridges and Expanding Horizons in Clinical Biostatistics at the 46th Annual Conference of the ISCB (International Society for Clinical Biostatistics), this time in the Trinational Eurodistrict of Basel, Switzerland, from August 24th to 28th, 2025.

Meeting @marchenrion.bsky.social at the poster session #IBC2024ATL #atlanta #internationalbiometricconference #STRATOS

After many online meetings, it feels great to meet fellow #Stratos colleagues in person #internationalbiometricconference #atlanta

Very exciting to attend a Sander Greenland talk and being lectured on bad practices in epidemiology and biostatistics - and how to do better and change practice in the next generation of researchers. #IBC2024ATL

Great STRATOS TG2 session with @georgheinze.bsky.social at #IBC2024ATL. Another session this afternoon at 2pm.

Two AIs talking about our paper on phases of methodological research in biostatistics doi.org/10.1002/bimj..., created with minimum effort - fascinating and a bit fearsome notebooklm.google.com/notebook/85f...

When imputing missing values with @f2harrell.bsky.social 's aregImpute better calibration of prediction models was achieved than with other methods: www.sciencedirect.com/science/arti...

📢 PSA: Tired of #betareg in #rstats complaining when you have 0 and/or 1 in your response variable? 🎉 Good news: betareg can now capture this at the expense of a single extra parameter! 📄 New arXiv working paper with Ioannis Kosmidis. www.zeileis.org/news/xbx/

Glad to be in beautiful Leiden with Maarten at the STRATOS meeting. Anyone wanting to improve their statistical practice with respect to observational data analysis should get to know the many STRATOS resources. stratos-initiative.org

Happy to present this NEW PAPER of the STRATOS initiative on 'Regression without regrets: Initial data analysis is a prerequisite for multivariable regression' bmcmedresmethodol.biomedcentral.com/articles/10....

Happy to welcome three new predoctoral researchers at the Institute of Clinical Biometrics: Moritz Madern, Sinan Necdet Cevirme, Leonie Lenz-Seraphin, working on prediction and causal inference in health Credits to Theresa Ullmann for the picture!

NEW PAPER out today in the BMJ TRIPOD+AI: reporting recommendations for studies developing or validating prediction models for use in healthcare that use #machinelearning methods bmj.com/content/385/... #ArtificialIntelligence #AIstandards #OpenAccess

Hot tip for (stat/data science) methodological researchers (ctd.): Reviewer complains that your new prototype method does not seem to be ready for use and its evaluation is not extensive enough? You can answer them along the lines of our "phases paper": onlinelibrary.wiley.com/doi/10.1002/... 1/n

another great paper doi.org/10.1002/sim.... @timpmorris.bsky.social !

Great to see this special collection published! onlinelibrary.wiley.com/doi/toc/10.1... @boulesteixlaure.bsky.social