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Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Bonnett, LJ, Debray, TP, Phillips, B, Collins, GS and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb. Journal of Clinical Epidemiology.

Snell, KI, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Debray, TP, Moons, KG and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures? Stat Methods Med Res, 27 (11). pp. 3505-3522.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ahmed, I, Debray, TP, Willis, BH, Noordzij, JP, Higgins, JP and Deeks, JJ (2015) Summarising and validating test accuracy results across multiple studies for use in clinical practice. Stat Med, 34 (13). 2081 - 2103.

Snell, KI, Hua, H, Debray, TP, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Look, MP, Moons, KG and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2015) Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model. Journal of Clinical Epidemiology, 69. pp. 40-50.