We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health.
www.mrc-bsu.cam.ac.uk
MRC Biostatistics Unit
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On Wednesday, Daniela De Angelis gave a talk about the critical work she and the BSU COVID-19 Working Group did on carrying out real-time nowcasting and forecasting of the COVID-19 pandemic in England.
Daniela's excellent talk was the finale for the Cambridge Statistics Discussion Group 👏🤩
MRC Biostatistics Unit
Our away days are such a significant date in the BSU calendar.
An opportunity for all our brilliant staff and students to get together, share insights, discuss research culture, do some quizzing and most importantly, chat and catch up with colleagues 😊
Well done to the great team of organisers 👏
Congrats to @ruedalab.bsky.social and colleagues! 🤩👏
Their paper on using machine learning to predict treatment outcomes for breast cancer patients is Number 3 in European Association for Cancer Research most interesting and impactful papers in April 2026.
👇
magazine.eacr.org/highlights-i...
📢 MASAMB 2026 - Abstract deadline fast approaching
For those working in or interested in maths, stats, computer science, bioinformatics and life sciences, this is fantastic opportunity to present your work and build connections
🗓 Abstract deadline: 15 May
👉 Submit: docs.google.com/forms/d/1--e...
Many congratulations to Professor Sheila M. Bird on being appointed a Dame Commander of the Order of the British Empire (DBE) in the King's Birthday Honours List 2026, for her services to statistics 👏
Read full article
www.mrc-bsu.cam.ac.uk/news/pioneer...
🔈New research published in Statistics in Medicine, led by @ruedalab.bsky.social, Valeria Leiva and colleagues.
Novel Influence Diagnostics in Multistate Models for Breast Cancer
Read full paper 👇
onlinelibrary.wiley.com/doi/10.1002/...
#BreastCancer #Biostatistics #DataScience #Diagnosis
We are recruiting!
Research Associate/Senior Research Associate in Medical Statistics.
Exciting role working with Pavel Mozgunov and colleagues on novel dose optimisation designs for combination trials with application in oncology and infectious diseases.
👇
www.cam.ac.uk/jobs/researc...
tinyurl.com/reuxynmc Very excited to see this work I was a small part of published! We analysed two large scale colocalisation datasets: OpenTargets data and an analysis of immune-mediated disease GWAS/immune cell eQTLs seeking to understand the "colocalisation gap". Some highlights:
TODAY - 12pm
From Plate to Brain: Global Diet, Cognitive Function and Neuroimaging in Diverse Populations
Prof. Sonia Anand (@mcmasteruniversity.bsky.social) will examine the influence and impact of global dietary patterns across diverse populations.
Register to attend - buff.ly/FjfjFr7
New at JASA @amstatnews.bsky.social by @hhau.bsky.social + me @mrc-bsu.bsky.social
–Directly specifying parameter priors is often hard
–Easier to elicit a predictive distribution for observables/other marginal
–Propose new algorithm to translate elicited predictive → parameter prior
doi.org/q37b
Multistate models were developed to model survival data where several midpoints and endpoints are of interest; and they have been particular successful in modeling dynamics of cancer. As in any stati....
Author summary Most of the genetic variants associated with complex traits are located outside genes, limiting functional interpretation. Genetic colocalisation helps identify candidate causal genes b...
The EACR's 'Highlights in Cancer Research' is a regular summary of the most interesting and impactful recent papers in cancer research.magazine.eacr.org
