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Gary Collins

@GSCollins

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Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴‍♂️ Google scholar: https://t.co/uLlSuvlHi2 On BlueSky @gscollins.bsky.social

Joined May 2011
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@GSCollins
Gary Collins
1 year
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. #ArtificialIntelligence #AIstandards #OpenAccess. Please share 🙏
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@GSCollins
Gary Collins
19 days
RT @Cacciamani_MD: What is the #CHART reporting guideline designed to improve in chatbot health-advice studies?. 📌 Key Findings.-Systematic….
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@GSCollins
Gary Collins
1 month
RT @GuyattGH: Introducing #CHART - reporting guidelines for studies evaluating evidence summaries and health advice from #genAI models like….
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@GSCollins
Gary Collins
1 month
RT @Cacciamani_MD: Chatbot Studies Guideline: CHART.📑 12 items, 39 subitems for clear CHA study reporting.🌐 531 stakeholders in consensus p….
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@GSCollins
Gary Collins
1 month
RT @AnnFamMed: Developed by an international team of clinicians, researchers, and journal editors, the Chatbot Assessment Reporting Tool (C….
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@GSCollins
Gary Collins
1 month
RT @SanjanaCho26602: Take part in our survey and help shape how trial results are shared with patients & the public. 🔊 Final round open!.📝….
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@GSCollins
Gary Collins
1 month
NEW PAPER: the CHART reporting guideline for studies evaluating generative AI models like #ChatGPT & other #LLMs for providing health advice. The explanation & elaboration paper. #genAI #chatbots #healthadvice #reporting
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@GSCollins
Gary Collins
1 month
RT @bmj_latest: This reporting guideline offers advice on how to report studies that evaluate the performance of generative AI-driven chatb….
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bmj.com
The Chatbot Assessment Reporting Tool (CHART) reporting guideline promotes transparent and comprehensive reporting of studies evaluating the performance of generative artificial intelligence (AI)-d...
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@GSCollins
Gary Collins
1 month
RT @brighthuo: Attention #AI researchers, clinicians, patients, editors, publishers, & beyond👋.Just in 🖨️ - the #CHART reporting guideline….
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@GSCollins
Gary Collins
2 months
RT @bmj_latest: This article provides an overview of the current state of handling continuous variables in healthcare research. It discus….
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bmj.com
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods...
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@GSCollins
Gary Collins
2 months
RT @LopezAyalaP: Thrilled to see our work published in @bmj_latest. A practical guide on why categorizing continuous variables or assuming….
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@GSCollins
Gary Collins
2 months
RT @f2harrell: Outstanding paper! Especially suited for non-statisticians who want to get started with relaxing linearity assumptions with….
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@GSCollins
Gary Collins
2 months
NEW PAPER in @bmj_latest "Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide" . --> #methodologymatters
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@GSCollins
Gary Collins
2 months
RT @NIHRresearch: 🚨 Applications are now open for the NIHR Senior Investigators Cohort 19. Our Senior Investigators are among the most pr….
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@GSCollins
Gary Collins
2 months
NEW PAPER in @JClinEpi looking at the content of open peer-review reports of RCTs in the field of oncology . Peer review reports [. ] were short (median 276 words), superficial, and rarely constructive #metascience #peerreview #RCTs
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@GSCollins
Gary Collins
2 months
RT @nliulab: 🌏 Advancing international partnership for governing generative #AI (#GenAI) models in #medicine and #healthcare. We introduce….
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@GSCollins
Gary Collins
2 months
NEW PREPRINT "Critical Appraisal of Fairness Metrics in Clinical Predictive AI".-> . We identified 62 fairness metrics (& growing) - unsurprisingly it's all a bit of a mess. with most metrics not fit for purpose. #predictiveAI #fairness #machinelearning
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@GSCollins
Gary Collins
2 months
RT @Richard_D_Riley: ** New preprint led by Joao Matos & @GSCollins . "Critical Appraisal of Fairness Metrics in Clinical Predictive AI". -….
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@GSCollins
Gary Collins
3 months
RT @decdevane: Maternal early warning scores shown to be methodologically weak and at high risk of bias - Journal of Clinical Epidemiology….
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jclinepi.com
To systematically review and critically appraise the methodology of developing modified obstetric early warning scores (MOEWSs).
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