Glen Martin

Agree++, with the caveat that if we are choosing between two (valid) imputation methods during model development, then that choice should be guided by how missingness will be handled during implementation. Implementation considerations in prediction modelling are too often treated as an afterthought

@glenmartin.bsky.social is giving an online seminar:

"Missing Data: The Missing Component in Guidance for Developing, Validating and Implementing Prediction Models"

📅 Date: Tuesday 10th March 2026
🕐 Time: 1–2pm GMT
📍 Location: Online

🔗 Register here to receive the Teams link: lnkd.in/ejk7EFzC

Thanks all - interesting discussion that I agree with. Indeed, the Bayesian approach is - like with a lot of things - a natural way of handling this. I will touch on different imputation methods, and the issue of aligning the imputation method with how the model will eventually be used in practice.

**NEW OPEN-ACCESS PAPER**

“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"

- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss

1/n

*NEW PAPER*
led by @glenmartin.bsky.social

"A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands"

Guidance about including multiple outcomes in prediction model development
tinyurl.com/5xhsvcxb

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/...

Happy to share the first article of my PhD, which is now available as a pre-proof!

We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.

Curious to hear your thoughts!😃