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

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

22 Citations (Scopus)
81 Downloads (Pure)

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Medicine and Dentistry

Nursing and Health Professions

Biochemistry, Genetics and Molecular Biology