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Reposted by Glen Martin

Richard Riley (R²) @richarddriley.bsky.social · 19/06/2026

⭐ NEW PAPER: "Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings" - led brilliantly by Alex Pate with @glenmartin.bsky.social & myself link.springer.com/article/10.1...

link.springer.com

Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings - Diagnostic and Pr...

Diagnostic and Prognostic Research -

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Reposted by Glen Martin

Richard Riley (R²) @richarddriley.bsky.social · 03/03/2026

@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

lnkd.in

This link will take you to a page that’s not on LinkedIn

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Reposted by Glen Martin

Richard Riley (R²) @richarddriley.bsky.social · 08/07/2025

**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

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Richard Riley (R²) @richarddriley.bsky.social · 07/03/2025

*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

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Richard Riley (R²) @richarddriley.bsky.social · 13/02/2025

**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/...

bmj.com

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...

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Lotta Meijerink @lottameijerink.bsky.social · 13/12/2024

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!😃

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