TY - JOUR
T1 - Modeling fetal-growth biometry with Response Modeling Methodology (RMM) and comparison to current models
AU - Benson-Karhi, Diamanta
AU - Shore, Haim
AU - Malamud, Maya
N1 - Publisher Copyright:
© 2018 Taylor & Francis Group, LLC.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2018/1/2
Y1 - 2018/1/2
N2 - 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.
AB - 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.
KW - Continuous monotone convexity
KW - Fetal-growth reference curves
KW - Model comparisons
KW - Response modeling methodology
KW - Ultrasound biometry
UR - http://www.scopus.com/inward/record.url?scp=85018384065&partnerID=8YFLogxK
U2 - 10.1080/03610918.2017.1280160
DO - 10.1080/03610918.2017.1280160
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AN - SCOPUS:85018384065
SN - 0361-0918
VL - 47
SP - 129
EP - 142
JO - Communications in Statistics Part B: Simulation and Computation
JF - Communications in Statistics Part B: Simulation and Computation
IS - 1
ER -