Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.

Allotey, John; Snell, Kym Ie; Smuk, Melanie; Hooper, Richard; Chan, Claire L; Ahmed, Asif; Chappell, Lucy C; von Dadelszen, Peter; Dodds, Julie; Green, Marcus; +52 more... Kenny, Louise; Khalil, Asma; Khan, Khalid S; Mol, Ben W; Myers, Jenny; Poston, Lucilla; Thilaganathan, Basky; Staff, Anne C; Smith, Gordon Cs; Ganzevoort, Wessel; Laivuori, Hannele; Odibo, Anthony O; Ramírez, Javier A; Kingdom, John; Daskalakis, George; Farrar, Diane; Baschat, Ahmet A; Seed, Paul T; Prefumo, Federico; da Silva Costa, Fabricio; Groen, Henk; Audibert, Francois; Masse, Jacques; Skråstad, Ragnhild B; Salvesen, Kjell Å; Haavaldsen, Camilla; Nagata, Chie; Rumbold, Alice R; Heinonen, Seppo; Askie, Lisa M; Smits, Luc Jm; Vinter, Christina A; Magnus, Per M; Eero, Kajantie; Villa, Pia M; Jenum, Anne K; Andersen, Louise B; Norman, Jane E; Ohkuchi, Akihide; Eskild, Anne; Bhattacharya, Sohinee; McAuliffe, Fionnuala M; Galindo, Alberto; Herraiz, Ignacio; Carbillon, Lionel; Klipstein-Grobusch, Kerstin; Yeo, SeonAe; Teede, Helena J; Browne, Joyce L; Moons, Karel Gm; Riley, Richard D; Thangaratinam, Shakila; (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 (Winchester, England), 24 (72). pp. 1-252. ISSN 1366-5278 DOI: https://doi.org/10.3310/hta24720

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Abstract

Item Type Article
Faculty and Department Faculty of Epidemiology and Population Health > Dept of Medical Statistics
PubMed ID 33336645
Elements ID 155184

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