Excited that our new #openaccess #systematicreview has just been published npj Digital Medicine looking at diagnostic accuracy of #AI in #digitalpathology 💻 🔬

rdcu.be/dGTOD

We pleased to our announce our new partnership between the Centre for Open Science (Center for Open Science) and the EQUATOR Network to improve transparency and quality of reporting of research.

equator-network.org/2024/05/02/new…

cos.io/blog/cos-and-t…

ICYMI: International consensus based recommendations for #MachineLearning studies in #healthcare (TRIPOD+AI) in The BMJ

bmj.com/content/385/bm…

Extended guidance

bmj.com/content/suppl/…

#ArtificialIntelligence #AI #statsX #scicomm #Stats #statstwitter #PleaseShare

🔥🔥🔥 New guidelines for reporting prediction models including AI models

⭐️TRIPOD-AI⭐️

Check out 👇 AASLD INASL EASLnews EASL Education BASL education feed APASL News Mamatha Bhat Sumeet Asrani Akash Roy Arun Valsan Gary Collins 🇪🇺

bmj.com/content/bmj/38…

ICYMI. Our latest #openaccess recommendations for reporting #AI / #machinelearning prediction model studies in healthcare are out in the The BMJ

bmj.com/content/385/bm…

Don't forget there is further brief guidance for each recommendation in the supplementary material

Some red flags when reading a prediction model paper

- no sample size calc
- no mention of missing data
- dichotomania
- any mention of class imbalance/smote/classifier
- no assessment of calibration
- AUC > 0.95
- no internal validation
- no model or link to code

#statstwitter

« An analysis of the effects of sharing research data, code, and preprints on citations » An interesting preprint.

arxiv.org/abs/2404.16171…

**MEMTAB 2025 confirmed!**

Methods for Evaluating Models, Tests & Biomarkers
Uni of Birmingham, UK, 29th April - 1st May 2025

29th April: pre-conference courses
30th April: conference day 1 & evening event
1st May: conference day 2

Save the date!
Abstract call begins July 2024

.Brennan Kahan is publishing some really helpful papers on the estimands approach eg he and others wrote a very helpful explainer on the E9 addendum. Follow Brennan to stay up to date with developments 8/8
Addendum explainer:
bmj.com/content/384/bm…

A word we hear a lot about currently in the trials world is #Estimands .  But what are they and why are they useful? 1/8
#MethodologyMonday #85

🚨 NEW OPPORTUNITY: SPECIAL ISSUE 🚨

Special issue on the validation and transparency for AI-based prediction models. Welcoming research articles, methodology papers, reviews, protocols, and commentaries.

Feel free to contact me for more info
biomedcentral.com/collections/VT…

How should your health data be used for AI research? Join our latest study and help us understand public views on health data sharing. You'll complete a questionnaire and take part in a focus group: find out more ndorms.ox.ac.uk/research/phair…

Do you work in #ClinicalTrials ? Estimands could help make sure your study answers the right research question.

Our latest Trial Talk podcast episode features Brennan Kahan discussing his work on the estimands framework.

🎧Tune in to the full episode👉 bit.ly/3xPnYaS

Round 12 of the NIHR Advanced Fellowship is now open for applications. We would like to see applications from researchers of: social care, mental health, public health, health data science, knowledge mobilisation, multiple long-term conditions.

Apply now: nihr.ac.uk/funding/advanc…

Preprint from elena albu on random forests for dynamic prediction

We looked at dynamic random forest prediction models for central line-associated bloodstream infections on EHR from UZ Leuven.

We compared binary, multiclass, time-to-event, and competing risk outcome definitions. With elena albu Laure Wynants @laurewynants.bsky.social

arxiv.org/abs/2404.16127

Five places left! #CausalIntroCourse

Please promote this conference for all Young Statisticians - 16th-18th July at the University of Birmingham - it's the annual event where other statisticians can get to discuss issues. Abstracts are being requested - see sites.google.com/view/youngstat

Pre-conference courses on Tuesday 16th

An Introduction to Diagnostic Tests and Studies of Diagnostic Tests - Jon Deeks FMedSci, Alice Sitch, and Yemisi Takwoingi

An Introduction to Risk Prediction Models & Sample Size Calculations for Development & Validation Richard Riley (R²)

TRIPOD+AI is a new reporting guideline led by @UniofOxord researcher Gary Collins 🇪🇺 for #artificialintelligence studies developing or validating prediction models in healthcare powered by #machinelearning methods

bmj.com/content/385/bm…

#OxfordAI #ethicalAI