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

Diamanta Benson-Karhi, Haim Shore, Maya Malamud

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)129-142
Number of pages14
JournalCommunications in Statistics Part B: Simulation and Computation
Volume47
Issue number1
DOIs
StatePublished - 2 Jan 2018

Bibliographical note

Publisher Copyright:
© 2018 Taylor & Francis Group, LLC.

Keywords

  • Continuous monotone convexity
  • Fetal-growth reference curves
  • Model comparisons
  • Response modeling methodology
  • Ultrasound biometry

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