Gary Collins
@GSCollins
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Statistician • Professor • University of Birmingham • NIHR Senior Investigator • 🚴♂️ BlueSky: https://t.co/CiR2UUqr8A
Joined May 2011
NEW PAPER out today in @BMJ_latest TRIPOD+AI: reporting recommendations for studies developing or validating prediction models for use in healthcare that use #machinelearning methods https://t.co/ed9oiB1MVG
#ArtificialIntelligence #AIstandards #OpenAccess Please share 🙏
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Read about the life and work of renowned statistician Doug Altman — a "citation millionaire" #BMJChristmas
https://t.co/Nfc2G7PvyT
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** NEW PAPER in BMJ ** "AMSTAR-PF: a critical appraisal tool for systematic reviews of prognostic factor studies" Allows the quality of prognostic factor reviews to be examined. Brilliantly led by Michael L Henry. https://t.co/iXdEsI7EU7
bmj.com
The ability to predict the onset or natural history of an illness, or how people may respond to a treatment, guides clinical decision making. These predictions are commonly based on prognostic...
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"The making of a statistician: Doug Altman" - just published in @bmj_latest celebrating his 1 million citations and reflecting on his remarkable career and legacy. One of the most influential statisticians in modern medical research. https://t.co/nK16VUejbw
#methodologymatters
bmj.com
Doug Altman was an internationally renowned statistician who served as The BMJ ’s chief statistical adviser. He was also our boss, mentor, and friend for over 26 years, until his early death in...
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Very important article about a very important statistician. His explanations about statistical methods for non-statisticians are the best. They were an inspiration for us when we developed JAMA Guide to Statistics and Methods. When developing those articles, I always looked
Doug Altman was an internationally renowned statistician who served as The BMJ’s chief statistical adviser. Read about life and work that made this statistician a "citation millionaire" #BMJChristmas
https://t.co/Nfc2G7PvyT
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ICYMI: "Clinical prediction models using machine learning in oncology: challenges and recommendations" --> https://t.co/xAk69snwBk
#machinelearning #digitalhealth #predictionmodels #methodsmatter
bmjoncology.bmj.com
Clinical prediction models are widely developed in the field of oncology, providing individualised risk estimates to aid diagnosis and prognosis. Machine learning methods are increasingly being used...
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New Year’s resolutions to push you past Doug Altman’s 1 060 928 citations. By following these tips, you can lay a strong foundation that increases the likelihood of producing a paper that attracts substantial attention. #BMJChristmas
https://t.co/tlWqFkg4ns
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Doug Altman was an internationally renowned statistician who served as The BMJ’s chief statistical adviser. Read about life and work that made this statistician a "citation millionaire" #BMJChristmas
https://t.co/Nfc2G7PvyT
bmj.com
Doug Altman was an internationally renowned statistician who served as The BMJ ’s chief statistical adviser. He was also our boss, mentor, and friend for over 26 years, until his early death in...
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Rejoining Erasmus is the best morning news for weeks. Another important stepping stone in the re-association with our continent and our friends. Above all opportunities restored to our youth.
theguardian.com
Exclusive: British students will be able to participate in EU-wide scheme from January 2027, sources say
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Today, we make further steps in our renewed EU-UK strategic partnership. We have concluded the negotiations for the UK’s association to Erasmus+ in 2027. Bringing back Erasmus+ for our young people, opening the door to new shared experiences and lasting friendships. And we
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ICYMI: NEW PAPER "Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance" --> https://t.co/uMwHD8pkT5
#AI #machinelearning #predictiveAI
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**NEW PAPER: "A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models - part 2: time-to-event outcomes" https://t.co/p7ACaD7UMk
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An excellent "position statement" giving an overview on how we should evaluate models. Required reading!
Our overview of and guidance for performance measures to evaluate medical AI is finally out! - Stop bashing AUROC - Calibration + clinical utility are key - Plot risk distributions - Classification measures are improper https://t.co/m3xrAHDzdg
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Our overview of and guidance for performance measures to evaluate medical AI is finally out! - Stop bashing AUROC - Calibration + clinical utility are key - Plot risk distributions - Classification measures are improper https://t.co/m3xrAHDzdg
thelancet.com
Numerous measures have been proposed to illustrate the performance of predictive artificial intelligence (AI) models. Selecting appropriate performance measures is essential for predictive AI models...
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Machine learning has developed remarkable new ideas about how to develop prediction algorithms. But always baffled me why the field had to reinvent how to evaluate models. Here we show F score should not be used to evaluate medical prediction models
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NEW PAPER in @npjDigitalMed: "Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?" --> https://t.co/Vr0e1mdjx2
#HealthTech #ClinicalAI #MachineLearning #MedAI #AIinMedicine #TransparentAI #HealthInnovation #GenAI
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NEW paper "Clinical prediction models using machine learning in oncology: challenges and recommendations" --> https://t.co/n9uOpE9A0D
#machinelearning #methodsmatter #digitalhealth
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Clinical prediction models are widely developed in the field of oncology, providing individualised risk estimates to aid diagnosis and prognosis. But they suffer from common limitations like handling missing data, addressing demographic fairness and managing complex data.
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Thank you @Anaes_Journal for the incredible opportunity to share our work! Grateful to the GRAITE-USRA steering group, all Delphi experts & endorsing societies for their invaluable contributions, insights & support. A true multidisciplinary effort to improve AI reporting in RA 🙏🏼
Guidance for reporting AI technology evaluations for ultrasound scanning in regional anaesthesia @xiaoxi_6 @Jennythatcanbl1 @davidwhewson @STHJournalClub @bowness_james
#anaesthesia #regionalanaesthesia #regionalanesthesia #AI #MedTwitter
https://t.co/k8vwRlHUk2
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NEW PAPER "The STARD-AI reporting guideline for diagnostic accuracy studies using #artificialintelligence" in @NatureMedicine --> https://t.co/7IGGyF4MPK
#machinelearning #digitalhealth #transparency
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*NEW PAPER* "Guidelines for Meta-analyses and Systematic Reviews in Urology" - Led by @VickersBiostats - Addresses common shortcomings of meta-analysis articles - Provides guidelines for improvement - Applicable to all fields, not just urology 🙏 https://t.co/40wuhFTNkD
europeanurology.com
Our guideline comprises points addressing the conduct and interpretation of systematic reviews and meta-analyses in urology. Application of the guideline would lead to a more considered interpretat...
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