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Stock, SJ, Horne, M, Bruijn, M, White, H, Boyd, KA, Heggie, R, Wotherspoon, L, Aucott, L, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, BW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norman, JE and Norrie, J (2021) Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysis. PLoS Medicine, 18 (7). e1003686 - ?.

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.

Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, LC, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, KS, Mol, BW, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GCS, Ganzevoort, W, Laivuori, H, Odibo, AO, Arenas Ramírez, J, 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, LJM, Vinter, CA, Magnus, P, 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, SA, Browne, JL, Moons, KGM, Riley, RD and Thangaratinam, S (2020) External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis. BMC Medicine, 18 (1).

Stock, SJ, Wotherspoon, LM, Boyd, KA, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, Hodgetts Morton, V, Lavender, T, Khan, K, Harper-Clarke, S, Mol, BW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norrie, J and Norman, JE (2018) Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1: Individual participant data meta-analysis and health economic analysis. BMJ Open, 8 (4). e020796 - ?.