Prognostic models in rare diseases: methodology development with application to Ewing sarcoma

Kirton, Laura (Principal Investigator)

Cancer Research UK Clinical Trials Unit

Short title	Prognostic models in rare diseases: methodology development with application to Ewing sarcoma
Status	Active
Effective start/end date	1/10/23 → 30/09/28

Funding

NIHR

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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A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models - Part 2: time-to-event outcomes
Riley, R. D., Collins, G. S., Archer, L., Whittle, R., Legha, A., Kirton, L., Dhiman, P., Sadatsafavi, M., Adderley, N. J., Alderman, J., Martin, G. P. & Ensor, J., 16 Dec 2025, In: Diagnostic and Prognostic Research. 9, 1, 20 p., 33.
Research output: Contribution to journal › Article › peer-review

Open Access
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4 Downloads (Pure)
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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32 Downloads (Pure)