But I can see it from the hierarchical view too (e.g. prediction being a special case of counterfactual prediction)

I also think of three levels of insight: 1) not being aware of/confused between the three data science task types, 2) being aware, 3) appreciating that many tasks live in the intersections of the three.

I describe it as a type of prediction making use of methods from causal inference, as a contrast to causal effect estimation making use of prediction methods (e.g. for nuisance parameter estimation).

Informational poster introducing Dr. Maurice O’Connell, Research Associate at the University of Manchester and DynAIRx. The right side features his professional portrait against a background of blue and orange circular patterns. Logos for the University of Liverpool and DynAIRx appear at the top, with NIHR and Manchester University NHS Foundation Trust logos at the bottom. Text highlights Maurice’s work in developing causal inference models to uncover patterns in healthcare data, supporting safer prescribing for people with multiple long-term conditions and polypharmacy.

Meet Dr Maurice O'Connell @mauriceoconnell.bsky.social, research associate in statistics @manchester.ac.uk. Maurice bring deep expertise in causal inference, machine learning, counterfactual prediction and decision theory to DynAIRx - helping us understand what works, for whom, and why. #Statistics

Postdoc (Manchester, UK)
Working on methods for “First Few X” studies in resource-limited contexts.
with Thomas House @tah-sci.com, Lorenzo Pellis, Christopher Overton
at Univ. of Manchester
More details: http://iddjobs.org/jobs/2310

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods The Prediction model Risk Of Bias ASsessment Tool (PROBAST) is used to assess the quality, risk of bias, and applicability of prediction models or algorithms and of prediction model/algorithm studies....

www.bmj.com/content/388/...

An overview of causal machine learning methodology in Electronic Health Records (EHR) YouTube video by The Turing Way

You can view the recording of my online talk at Turing Institute
here on YouTube on #causalinference #TargetTrial emulation #CausalMachineLearning #polypharmacy & #deprescribing on research with @mattsperrin.bsky.social
@dynairx.bsky.social
@uniofmanchester.bsky.social
youtu.be/z0CtfYnu3b8?...

Prediction under intervention & role in primary prevention Hybrid Seminar by Dr Matthew Sperrin, University of Manchester - ‘Prediction under intervention and its role in primary prevention’. Hosted by the...

This Thursday, the 3rd seminar in the CDIHSC series ‘Prediction Under Intervention and its Role in Primary Prevention' by Dr Matthew Sperrin, University of Manchester. 27 March 12:00 - 13:00, hybrid event at Wolfson Centre, BD9 6RJ & MS Teams. Book your place >>> www.trybooking.com/uk/EOQB

🚀 Funding Announcement - New to Causality Research Call

Are you passionate about the potential of Causal AI in healthcare? Interested in developing methods to identify causal relationships in complex data?

Applications for funding are open NOW - bit.ly/3XcStS2

#CHAIHub #Funding #AIinHealthcare

📣 Exciting new opportunity to join the Cancer Data-Driven Detection (CD3) program as Senior Research Programme Manager based at @dphpc.bsky.social @cambridgeuni.bsky.social

Closing date 16 March 2025

Please repost!

More about CD3 below. 👇

www.jobs.cam.ac.uk/job/50376/

Lecturer in Health Data Science (Teaching and Scholarship):Oxford Road

Job: Lecturer in Health Data Science at University of Manchester: Teaching focused, 3y fixed term

www.jobs.manchester.ac.uk/Job/JobDetai...

Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches Clinical prediction models estimate an individual’s risk (probability) of a health related outcome to help guide patient counselling and clinical decision making. Most models provide a single point es...

**NEW BMJ PAPER**

"Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches"

- most models provide just a risk estimate
- we argue for presenting associated uncertainty too
- includes pros, cons, PPIE & methods

Hope helpful!
www.bmj.com/content/388/...

Investigating disease causal pathways and opportunities for targeted prevention at The University of Manchester on FindAPhD.com PhD Project - Investigating disease causal pathways and opportunities for targeted prevention at The University of Manchester, listed on FindAPhD.com

🌟 Final Reminder: PhD Opportunity with @official-uom.bsky.social, @mattsperrin.bsky.social and CHAI Hub!

Project: Investigating disease causal pathways and opportunities for targeted prevention

Deadline: February 14, 2025
Apply now: tinyurl.com/yc5a3ajd

#PhDOpportunity #AIinHealthcare

Senior Lecturer or Reader in Computational Statistics (Teaching & Research) :Oxford Road

Come and work with us! "Senior Lecturer or Reader in Computational Statistics ... biomedical data analysis, computational statistics and machine learning, foundations of data science and AI, high-dimensional data analysis, and uncertainty quantification."

www.jobs.manchester.ac.uk/Job/JobDetai...

📢 The latest CHAI Hub newsletter is out!

Stay up to date with CHAI’s latest news, research, and opportunities in causal AI for healthcare.

🔗 Read it here & subscribe: www.chai.ac.uk/newsletter

#CausalAI #AIResearch #CHAIHub #HealthcareInnovation

Happy to share the first paper of my PhD is published☺️!

In case you like to use class imbalance corrections, maybe it is interesting. Let me know what you think!

onlinelibrary.wiley.com/doi/10.1002/...

Many thanks to @maartenvsmeden.bsky.social, @benvancalster.bsky.social, Anne, Kim and Carl !!

Cancer Data Driven Detection is a multi-funder collaboration in which we will use statistics and AI to identify individuals at risk of cancer. I'm thrilled to be a part of it and looking forward to getting started!

Investigating disease causal pathways and opportunities for targeted prevention at The University of Manchester on FindAPhD.com PhD Project - Investigating disease causal pathways and opportunities for targeted prevention at The University of Manchester, listed on FindAPhD.com

🚀 Exciting PhD Opportunity with CHAI Hub! 🚀
Join The University of Manchester in exploring disease causal pathways using cutting-edge AI to uncover insights for targeted prevention.
⏳ Deadline: Feb 14, 2025
👉 Apply now: www.findaphd.com/phds/project...
#PhDOpportunity #CausalAI #AIinHealthcare

We'd love lots of people on this course 👇

2024 saw a major update of the TRIPOD reporting standards for #artificialintelligence and #machinelearning in healthcare

www.bmj.com/content/385/... (guidance)

www.bmj.com/content/385/... (opinion piece)

#statsSky #MLSky #transparency #reportingstandards #AI

a countdown clock with the number 10 in the center ALT: a countdown clock with the number 10 in the center

Let us start 2025 in a positive mood: here are 10 methods things researchers can worry *less* about in 2025

Please add me ☺️

NEW PAPER

Paper excellently led by Kim Luijken on dealing with interventions/treatments when developing a clinical prediction model

Open access 👉 onlinelibrary.wiley.com/doi/10.1002/...