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For existing models that could be validated, predictive performance was generally poor and although the IPPIC models showed promising predictive performance on average, heterogeneity was likely in calibration performance.

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John Allotey 1,2,, Kym IE Snell 3,*,, Melanie Smuk 2, Richard Hooper 2, Claire L Chan 2, Asif Ahmed 4, Lucy C Chappell 5, Peter von Dadelszen 5, Julie Dodds 1,2, Marcus Green 6, Louise Kenny 7, Asma Khalil 8, Khalid S Khan 1,2, Ben W Mol 9, Jenny Myers 10, Lucilla Poston 5, Basky Thilaganathan 8, Anne C Staff 11,12, Gordon CS Smith 13, Wessel Ganzevoort 14, Hannele Laivuori 15,16,17,18, Anthony O Odibo 19, Javier A Ramírez 20, John Kingdom 21, George Daskalakis 22, Diane Farrar 23, Ahmet A Baschat 24, Paul T Seed 5, Federico Prefumo 25, Fabricio da Silva Costa 26, Henk Groen 27, Francois Audibert 28, Jacques Massé 29, Ragnhild B Skråstad 30,31, Kjell Å Salvesen 32,33, Camilla Haavaldsen 34, Chie Nagata 35, Alice R Rumbold 36, Seppo Heinonen 37, Lisa M Askie 38, Luc JM Smits 39, Christina A Vinter 40, Per M Magnus 41, Kajantie Eero 42,43, Pia M Villa 37, Anne K Jenum 44, Louise B Andersen 45,46, Jane E Norman 47, Akihide Ohkuchi 48, Anne Eskild 34,49, Sohinee Bhattacharya 50, Fionnuala M McAuliffe 51, Alberto Galindo 52,53, Ignacio Herraiz 54, Lionel Carbillon 55, Kerstin Klipstein-Grobusch 56, SeonAe Yeo 57, Helena J Teede 58, Joyce L Browne 56, Karel GM Moons 56,59, Richard D Riley 3, Shakila Thangaratinam 1,2

* Corresponding author Email: k.snell@keele.ac.uk

{{metadata.Journal}} Volume: {{metadata.Volume}}, Issue: {{metadata.Issue}}, Published in {{metadata.PublicationDate | date:'MMMM yyyy'}}

https://doi.org/{{metadata.DOI}}

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