Lecturer in Digital Epi (teaching focused) at University of Manchester - come and join our growing team!

Curious why statisticians recommend including the outcome in your imputation models? Check out our new paper in Statistical Methods in Medical Research! Sarah Lotspeich (She/Her), Staci Hepler, and I show with some simple mathematical derivations why this is really a requirement!

Excited to share the pre-print of our qualitative work looking at barriers to structured medication reviews. link ⬇️

Last call! Deadline tomorrow

🚨 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…

**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

Not long to go to apply for this job. It’s a fantastic opportunity. #digitalhealth

How do you assess the calibration of multistate models used for risk prediction ? models - our work led by Alex Pate, Matthew Sperrin & Glen Martin provides insight. Statistics in Medicine - Wiley Online Library onlinelibrary.wiley.com/doi/10.1002/si… Niels Peek Richard Riley (R²) Iain Buchan

🧑‍🎓✍️⚕️🤖Attention PhD researchers searching a postdoc. Do you want to work on cutting edge research in causal AI? Help us bridge healthcare and AI. Join us and help us shape the research of the national chai.ac.uk hub. jobs.ac.uk/job/DHO645/res… #research #postdoc

Great to see the TRIPOD+AI reporting guideline published! It does medical research a great service, but prognosis models intended to support treatment decisions need more, so we wrote a rapid response in the BMJ: bmj.com/content/385/bm…

Please share with your colleagues Great data science job opportunity Georgina Moulton Glen Martin Matthew Sperrin Will Dixon Health eResearch R-Ladies Manchester Young Statisticians' Meeting 2024

Don't miss this opportunity to do exciting new-frontier research within a whole ecosystem of amazing experts. Apply now for one of the PostDoc positions of the CHAI hub. Deadline June 17 2024.

Tired: Data available upon request Wired: Results available upon request

Are you are post-doc looking to collaborate with an amazing group of AI researchers, to help develop innovative Healthcare AI? The CHAI Hub is currently recruiting for two post-doc research fellows - apply now! Exeter - bit.ly/3XZyszB UCL - bit.ly/3WkwRTM

We launched the CHAI AI Hub at our showcase event last month. Thanks to the amazing stakeholders and academics who joined us. We'll reach out to you all soon to continue co-creating our research. Keen to join the CHAI ecosystem? Get in touch! bit.ly/4f7VLgu

Great talk from Haya Elayan from The University of Manchester discussing accounting for case-mix shift when developing a clinical prediction model at #iscb45. Her first piece of work from her PhD, and it won a student award!

Congratulations Kuan Liao on the award of a PhD from UoM News 👏👏 Outstanding research on evaluating the predictive value of patient-reported outcomes in lung cancer using real-world data from The Christie NHS Manchester Cancer Research Centre Well done! Janelle Yorke Matthew Sperrin

Great to see our paper on factors affecting structured medication reviews in patients with multimorbidy and polypharmacy published today as part of the DynAIRx NIHR study. The results are helping to inform on AI tool development to support clinicians journals.plos.org/plosone/articl…