Epidemiology;UMCU;Cochrane;Health Innovation Netherlands (HiNL);Center for Side Effects Implants;Prediction Models;Medical tests&apps;Chief Editor Diag&Prog Res
Joined July 2018
- Tweets 435
- Following 318
- Followers 1,433
- Likes 935
9 Photos and videos
7 Sep 2023
We agree and work hard to have the handbook out at the end of 2024
4 Sep 2023
Can't be too soon!
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Carl Moons retweeted
4 Sep 2023
And @CarlMoons showcasing the handbook at #cochranelondon
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Carl Moons retweeted
4 Sep 2023
And then there was prognosis! @CarlMoons @Richard_D_Riley
introducing the new #CochranePrognosisHandbook - our youngest in the @cochranecollab Handbook family with 1st chapters due in late 2024
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Carl Moons retweeted
12 Jun 2023
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
ALT TRIPOD AI logo
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Carl Moons retweeted
10 May 2023
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
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Carl Moons retweeted
4 May 2023
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
ALT A new reporting guideline for systematic reviews and meta-analyses of clinical prediction model studies, TRIPOD-SRMA.
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Carl Moons retweeted
3 May 2023
No this is a different reporting guideline (for systematic reviews of prediction models)
TRIPOD AI is coming...
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18 Mar 2023
It is indeed - and the paper that shows that is almost out as well.
17 Mar 2023
Great work. I have my suspicion this is not only in oncology but generalized across medicine and health, unfortunately
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Carl Moons retweeted
1 Feb 2023
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
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27 Nov 2022
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.
25 Nov 2022
NEW PAPER in @JClinEpi -> "focus is required on handling of missing values, methods for internal validation, & reporting of calibration to improve [...] studies on #machinelearning-based prediction models" tinyurl.com/3zfjs5wu
#OpenAccess #StatsTwitter #DataScience #MLtwitter
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Carl Moons retweeted
13 Oct 2022
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
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Carl Moons retweeted
16 Sep 2022
Roderick Venekamp, Lotty Hooft, Irene Veldhuijzen, Wouter vd Bijllaardt @SuzanPas Vivian Zwart @EstherLodder Marloes Hellwich, Marco Koppelman @Rimo42 Constantijn Wijers, Irene Vroom, Leonard Smeets @La_Nagel Wanda Han, Jan Kluytmans, Susan vd Hof, Janneke vd Wijgert @CarlMoons
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Carl Moons retweeted
17 Sep 2022
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/bmj-2022… @carlmoons
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19 Sep 2022
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.
17 Sep 2022
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/bmj-2022… @carlmoons
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12 Jul 2022
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!
12 Jul 2022
NEW PAPER
Large external validation of covid-19 prediction models for mortality @bmj_latest
TL;DR: performance highly heterogenous -- often pretty bad --, but some positive exceptions too that require some recalibration
bmj.com/content/378/bmj-2021…
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Carl Moons retweeted
12 Jul 2022
NEW PAPER
Large external validation of covid-19 prediction models for mortality @bmj_latest
TL;DR: performance highly heterogenous -- often pretty bad --, but some positive exceptions too that require some recalibration
bmj.com/content/378/bmj-2021…
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Carl Moons retweeted
7 Jul 2022
Great work Paula! Adding the link here for easy access: diagnprognres.biomedcentral.…
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Carl Moons retweeted
24 Jun 2022
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
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