Sample Size guidance for developing and validating reliable and fair AI PREDICTion models in healthcare (SS-PREDICT)

Cazier, Jean-Baptiste (Co-Investigator)
Riley, Richard (Principal Investigator)
Snell, Kym (Co-Investigator)
Archer, Lucinda (Co-Investigator)
Nirantharakumar, Krishnarajah (Co-Investigator)
Cazier, Jean-Baptiste (Co-Investigator)
Ensor, Joie (Co-Investigator)
Denniston, Alastair (Researcher)
Adderley, Nicki (Researcher)
Liu, Xiaoxuan (Researcher)

Short title	Sample Size guidance for developing and validating reliable and fair AI PREDICTion models in healthcare (SS-PREDICT)
Status	Finished
Effective start/end date	2/10/23 → 1/04/25

Funding

UK Research and Innovation

11 Article
5 Preprint
2 Review article

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
Riley, R. D., Collins, G. S., Whittle, R., Archer, L., Snell, K. I. E., Dhiman, P., Kirton, L., Legha, A., Liu, X., Denniston, A. K., Harrell, F. E., Wynants, L., Martin, G. P. & Ensor, J., 8 Jul 2025, In: Diagnostic and Prognostic Research. 9, 1, 17 p., 14.
Research output: Contribution to journal › Article › peer-review

Open Access
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29 Downloads (Pure)
A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes
Whittle, R., Riley, R. D., Archer, L., Collins, G. S., Legha, A., Snell, K. I. & Ensor, J., 31 Jul 2025, arXiv, 36 p.
Research output: Working paper/Preprint › Preprint

File
A general sample size framework for developing or updating a clinical prediction model
Riley, R. D., Whittle, R., Sadatsafavi, M., Martin, G. P., Pate, A., Collins, G. S. & Ensor, J., 25 Apr 2025, arXiv, 32 p.
Research output: Working paper/Preprint › Preprint

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