Modeling fetal-growth biometry with Response Modeling Methodology (RMM) and comparison to current models

Diamanta Benson-Karhi, Haim Shore, Maya Malamud

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים

תקציר

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.

שפה מקוריתאנגלית
עמודים (מ-עד)129-142
מספר עמודים14
כתב עתCommunications in Statistics Part B: Simulation and Computation
כרך47
מספר גיליון1
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2 ינו׳ 2018

ASJC Scopus subject areas

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