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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.

Merriman, T, Matsuo, H, Takei, R, Leask, M, Topless, R, Shirai, Y, Li, Z, Cadzow, M, Reynolds, R, Saag, K, Fadason, T, O'Sullivan, J, Dalbeth, N, Stamp, L, Abhishek, A, Doherty, M, Roddy, E ORCID: https://orcid.org/0000-0002-8954-7082, Jacobsson, L, Kapetanovic, M, Andres, M, Perez-Ruiz, F, Torres Jimenez, R, Radstake, T, Jansen, T, Janssen, M, Joosten, L, Crisan, TO, Huizinga, T, Liote, F, Richette, P, Bardin, T, Pascart, T, McCarthy, G, Stiburkova, B, Tausche, A, Uhlig, T, Vitart, V, Riches, P, Ralston, S, MacDonald, T, Nakayama, A, Nakatochi, M, Ichida, K, Takada, T, Lee, C, Brown, M, Robinson, P, Hill, C, Choi, H, Sumpter, N, Merriman, M, Phipps-Green, A, Wei, W, McCormick, S, Melander, O, Toes, R, Ea, H-K, Kurreeman, F, Helbert, L, Boutin, T, Shinomiya, N, Bradbury, L, Buchanan, R, Lester, S, Smith, M, Rischmueller, M, Stahl, E, Miner, J, Solomon, D, Cui, J, Giacomini, K, Brackman, D, Jorgenson, E, Shringapure, S, So, A, Okada, Y, Li, C, Shi, Y, Major, T, Japan, GGCJG, Stu, JMCC and Team, AR (2022) A Genome-Wide Association Analysis of 2,622,830 Individuals Reveals New Pathogenic Pathways in Gout. Arthritis & Rheumatology, 74 (S9). 3338 - 3341.

Andaur Navarro, CL, Damen, JAA, 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, KGM and Hooft, L (2022) Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review. BMC Medical Research Methodology, 22 (1). 12 - ?.

Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L (2021) Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review. BMJ, 375. n2281 - ?.

Andaur Navarro, CL, Damen, JAA, 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, KGM and Hooft, L (2021) Completeness of reporting of clinical prediction models developed using supervised machine learning: A systematic review. arXiv.org. (Unpublished)

Takada, T, Nijman, S, Denaxas, S, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Uijl, A, Nguyen, T-L, Asselbergs, FW and Debray, TPA (2021) Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets. Journal of Clinical Epidemiology, 137. 83 - 91.

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.

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 - ?.