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Andaur Navarro, CL, Damen, JA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KG and Hooft, L (2023) Systematic review finds "Spin" practices and poor reporting standards in studies on machine learning-based prediction models. Journal of Clinical Epidemiology.

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 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.

Navarro, CLA, Damen, J, Takada, T, Dhiman, P, Collins, GS, Ma, J, Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Hooft, L and Moons, KG (2021) Why are Machine Learning-based prediction models still unpopular in clinical practice? Diagnostic and Prognostic Research, 5 (S2). 37 - 37.

Allotey, J, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Smuk, M, Hooper, R, Chan, CL, Ahmed, A, Chappell, LC, von Dadelszen, P, Dodds, J, Green, M, Kenny, L, Khalil, A, Khan, KS, Mol, BW, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GC, Ganzevoort, W, Laivuori, H, Odibo, AO, Ramírez, JA, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, AA, Seed, PT, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, RB, Salvesen, KÅ, Haavaldsen, C, Nagata, C, Rumbold, AR, Heinonen, S, Askie, LM, Smits, LJ, Vinter, CA, Magnus, PM, Eero, K, Villa, PM, Jenum, AK, Andersen, LB, Norman, JE, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, FM, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, S, Teede, HJ, Browne, JL, Moons, KG, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Thangaratinam, S (2020) Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Health Technology Assessment, 24 (72). 1 - 252.

Andaur Navarro, CL, Damen, JAAG, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KG and Hooft, L (2020) Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques. BMJ Open, 10 (11). e038832 - ?.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, KI, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Harrell, FE, Moons, KG and Collins, GS (2019) Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes. Statistics in Medicine, 38 (7). pp. 1276-1296.

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.

Moons, KG, Hooft, L, Williams, K, Hayden, JA, Damen, JA and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Implementing systematic reviews of prognosis studies in Cochrane. Cochrane Database of Systematic Reviews, 10.

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.

Steyerberg, EW, Moons, KG, van der Windt, DA, Hayden, JA, Perel, P, Schroter, S, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Hemingway, H and Altman, DG (2013) Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Medicine, 10 (2). e1001381 -?.