Project Details
| Short title | Sample Size guidance for UPDATing clinical prediction models to Ensure their accuracy and fairness in practice (SS-UPDATE) |
|---|---|
| Status | Active |
| Effective start/end date | 15/04/24 → 14/04/27 |
Funding
- Medical Research Council
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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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., Dec 2026, In: Diagnostic and Prognostic Research. 10, 1, 13 p., 11.Research output: Contribution to journal › Article › peer-review
Open AccessFile36 Downloads (Pure) -
A general sample size framework for developing or updating a predictive algorithm: with application to clinical prediction models
Riley, R. D., Whittle, R., Sadatsafavi, M., Martin, G. P., Pate, A., Collins, G. S. & Ensor, J., 29 Apr 2026, (E-pub ahead of print) In: BMC Medical Research Methodology.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Bayesian Sample Size Calculations for External Validation Studies of Risk Prediction Models
Sadatsafavi, M., Gustafson, P., Setayeshgar, S., Wynants, L. & Riley, R. D., 11 Feb 2026, (E-pub ahead of print) In: Statistics in Medicine. 45, 3-5, 15 p., e70389.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure)