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Reminder that if you're developing/evaluating a prediction model then report your study according to the TRIPOD Statement --> tinyurl.com/5n7exxw4 --> tinyurl.com/2p9udfdr Updated guidance for #machinelearning available very soon!! tinyurl.com/mvzkymt9 #transparency

We would like to thank all our participants today at the TRIPOD-#AI consensus meeting today. Excellent discussion on a range of issues to report when developing or validating an #AI/#ML prediction model. Now to refine the checklist. Watch this space!

@pauladhiman Gary Collins Garrett Bullock PT, DPT, DPhil Richard Riley (R²) Ben Van Calster Carl Moons @BenjaminSpeich Centre for Statistics in Medicine Oxford Botnar Institute for Musculoskeletal Sciences NDORMS Great work Paula! Adding the link here for easy access: diagnprognres.biomedcentral.com/articles/10.11…

@pauladhiman Gary Collins Garrett Bullock PT, DPT, DPhil Richard Riley (R²) Ben Van Calster Carl Moons @BenjaminSpeich Centre for Statistics in Medicine Oxford Botnar Institute for Musculoskeletal Sciences NDORMS Great article! Congrats!

NEW PAPER Large external validation of covid-19 prediction models for mortality The BMJ TL;DR: performance highly heterogenous -- often pretty bad --, but some positive exceptions too that require some recalibration bmj.com/content/378/bm…

A unique endeavour this has been. My great Thanks to everyone across the globe, who contributed their data and/or expertise to this challenging but hugely important project that we started already in 2020! You all did it!

Roderick Venekamp, Lotty Hooft, Irene Veldhuijzen, Wouter vd Bijllaardt @SuzanPas Vivian Zwart Esther Lodder Marloes Hellwich, Marco Koppelman Richard Molenkamp Constantijn Wijers, Irene Vroom, Leonard Smeets @La_Nagel Wanda Han, Jan Kluytmans, Susan vd Hof, Janneke vd Wijgert Carl Moons

The performance of some home testing kits for covid-19 appears to have declined as the omicron variant emerged, suggests study based on three widely used rapid antigen tests. Performance improved when tests used both nose and throat samples bmj.com/content/378/bm… @carlmoons

If one is interested in the accuracy of Covid-19 self tests - when used at home (a real world validatie study) - you may want to read this paper. A comprehensive self test validation study, also investigating the added value of throat to nose sampling.

We've heard on the grapevine, there are still people who are not using the TRIPOD statement (😲we know) to report their prediction model study. Enlighten them by pointing them to tinyurl.com/3z4fw4zx (checklist) tinyurl.com/mrywn3mk (explanation/examples) #statstwitter

A great overview of methodological aspects that may still need to be improved when developing machine learning or AI based prediction models for diagnosis, prognosis, prevention or monitoring. Thanks to many colleagues who made this tremendous amount of work possible.

Are you a prediction modeling expert and not yet invited to participate in the Delphi of PROBAST+AI, we would love to hear from you! Send me a DM with your name and email, and I'll get you a personal invitation link

It is indeed - and the paper that shows that is almost out as well.

Zakia Salod, PhD Kym Snell The BMJ Brooke Levis Richard Riley (R²) Carl Moons Thomas Debray Hans Reitsma @pauladhiman No this is a different reporting guideline (for systematic reviews of prediction models) TRIPOD+AI is coming...

We're seeing lots of reviews of prediction models, particularly as a consequence of lots of machine learning studies So we've developed some reporting recommendations for systematic reviews / meta-analyses of prediction models tinyurl.com/2p8vskxw #openaccess #statstwitter

Among the many important recommendations in the UK House of Commons report on Reproducibility and Research Integrity, recommendations 11 and 12 are resonate 👇 --> tinyurl.com/bddknttn #statstwitter #methodsmatter #notohobbystatisticians

COMING SOON -> Draft TRIPOD+AI checklist & paper on recommendations for reporting #ArtificialIntelligence studies driven by #MachineLearning and #Statistics for healthcare out with co-authors for comments. #gettingclose #transparency

And then there was prognosis! Carl Moons Richard Riley (R²) introducing the new #CochranePrognosisHandbook - our youngest in the Cochrane Handbook family with 1st chapters due in late 2024

And Carl Moons showcasing the handbook at #cochranelondon

We agree and work hard to have the handbook out at the end of 2024