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Pate, A, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS, van Smeden, M, Van Calster, B, Ensor, J and Martin, GP (2023) Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical Methods in Medical Research, 32 (3). pp. 555-571.

van Geloven, N, Giardiello, D, Bonneville, EF, Teece, L, Ramspek, CL, van Smeden, M, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, van Calster, B, Pohar-Perme, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Putter, H, Steyerberg, E and initiative, STRATOS (2022) Validation of prediction models in the presence of competing risks: a guide through modern methods. BMJ, 377. e069249 - ?.

Ramspek, CL, Teece, L, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Evans, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, van Smeden, M, van Geloven, N and van Diepen, M (2021) Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models. International Journal of Epidemiology, 51 (2). pp. 615-625.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Booth, S, Mozumder, SI, Rutherford, MJ, van Smeden, M, Lambert, PC and Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591 (2021) Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome. Statistics in Medicine.

Collins, GS, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and van Smeden, M (2021) Flaws in the development and validation of a covid-19 prediction model. Clinical Infectious Diseases, 73 (3). pp. 557-558.

Collins, GS, Dhiman, P, Andaur Navarro, CL, Ma, J, Hooft, L, Reitsma, JB, Logullo, P, Beam, AL, Peng, L, Van Calster, B, van Smeden, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Moons, KG (2021) Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ Open, 11 (7). e048008 - ?.

Van Calster, B, Wynants, L, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, van Smeden, M and Collins, GS (2021) Methodology over metrics: Current scientific standards are a disservice to patients and society. Journal of Clinical Epidemiology, 138. pp. 219-226.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Debray, TPA, Collins, GS, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, van Smeden, M and Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591 (2021) Minimum sample size for external validation of a clinical prediction model with a binary outcome. Statistics in Medicine.

van Smeden, M, Reitsma, JB, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS and Moons, KG (2021) Clinical prediction models: diagnosis versus prognosis. Journal of Clinical Epidemiology, 132. 142 - 145.

Collins, GS, van Smeden, M and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2020) COVID-19 prediction models should adhere to methodological and reporting standards. European Respiratory Journal.

Wynants, L, Van Calster, B, Bonten, MMJ, Collins, GS, Debray, TPA, De Vos, M, Haller, MC, Heinze, G, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Schuit, E, Smits, LJM, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Steyerberg, EW, Wallisch, C and van Smeden, M (2020) Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ, 369.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Harrell, FE, Martin, GP, Reitsma, JB, Moons, KGM, Collins, G and van Smeden, M (2020) Calculating the sample size required for developing a clinical prediction model. BMJ, 368. -.