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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.