Modeling fetal-growth biometry with Response Modeling Methodology (RMM) and comparison to current models. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Benson-Karhi, Diamanta; Shore, Haim; Malamud, Maya
• Is Part Of: Communications in statistics. Volume 47:Issue 1(2018)
• Page Start: 129
• Page End: 142
• Publication Date: 2018-01-02
• Subjects: Continuous monotone convexity -- Fetal-growth reference curves -- Model comparisons -- Response modeling methodology -- Ultrasound biometry; 62P10; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2017.1280160
• Languages: English
• ISSNs: 0361-0918

Abstract

ABSTRACT: Monitoring fetal growth via ultrasound requires modeling fetal biometry in terms of gestation age. In this study, we compare Response Modeling Methodology (RMM) to current models, in three stages. First, RMM is used to approximate 47 empirical mean models that have appeared in the literature resulting in models with negligible loss in accuracy (unlike two other commonly applied models). Next, RMM models are fitted to sample averages of the Singaporean population and compared to a formerly published model. A similar simulation-based analysis is performed in the last stage for raw data of the British population. Altogether over 70 comparisons had been performed resulting in RMM consistently delivering better performing models.