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

Sarah J.E. Stock^*, Margaret Horne, Merel Bruijn, Helen White, Kathleen A. Boyd, Robert Heggie, Lisa Wotherspoon, Lorna S. Aucott, Rachel Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna L. David, Asma Khalil, Andrew Shennan, Van Baaren Gert-Jan, Hodgetts Morton Victoria, Tina Lavender, Ewoud Schuit, Harper Clarke SusanBen W.J. Mol, Riley Richard, Jane E. Norman, John Norrie

^*Corresponding author for this work

Health Services Research Unit (HSRU)
Institute of Applied Health Sciences
Applied Health Sciences
Aberdeen Centre for Women’s Health Research

University of Edinburgh
University of Manchester
University of Glasgow
University of Birmingham
IWK Health Centre
Queen Elizabeth University Hospital
Guy's and St Thomas' NHS Foundation Trust
University College London
St. George's University of London
King's College London
University Medical Centre, Amsterdam
Utrecht University
Keele University
University of Bristol
Monash University

Research output: Contribution to journal › Review article › peer-review

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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

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Medicine & Life Sciences