Cite
Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor.
MLA
Carter, J., et al. “Development and Validation of Predictive Models for QUiPP App v.2: Tool for Predicting Preterm Birth in Women with Symptoms of Threatened Preterm Labor.” Ultrasound in Obstetrics & Gynecology, vol. 55, no. 3, Mar. 2020, pp. 357–67. EBSCOhost, https://doi.org/10.1002/uog.20422.
APA
Carter, J., Seed, P. T., Watson, H. A., David, A. L., Sandall, J., Shennan, A. H., & Tribe, R. M. (2020). Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor. Ultrasound in Obstetrics & Gynecology, 55(3), 357–367. https://doi.org/10.1002/uog.20422
Chicago
Carter, J., P. T. Seed, H. A. Watson, A. L. David, J. Sandall, A. H. Shennan, and R. M. Tribe. 2020. “Development and Validation of Predictive Models for QUiPP App v.2: Tool for Predicting Preterm Birth in Women with Symptoms of Threatened Preterm Labor.” Ultrasound in Obstetrics & Gynecology 55 (3): 357–67. doi:10.1002/uog.20422.