@article{1ce827a49914426699758ab4fa0326da,
title = "Prediction models in obstetrics: understanding the treatment paradox and potential solutions to the threat it poses",
keywords = "Bias, Female, Humans, Models, Statistical, Obstetrics/statistics & numerical data, Pre-Eclampsia/therapy, Predictive Value of Tests, Pregnancy, Pregnancy Outcome, Pregnancy, High-Risk, Prenatal Care/statistics & numerical data, Propensity Score",
author = "F Cheong-See and J Allotey and N Marlin and Mol, {B W} and E Schuit and {Ter Riet}, G and Riley, {R D} and Kgm Moons and Khan, {K S} and S Thangaratinam",
year = "2016",
month = jun,
doi = "10.1111/1471-0528.13859",
language = "English",
volume = "123",
pages = "1060--4",
journal = "BJOG: An International Journal of Obstetrics & Gynaecology",
issn = "1470-0328",
publisher = "Wiley",
number = "7",
}