We develop an approach to risk classification based on quantile contours and allometric modelling of multivariate anthropometric measurements. We propose the definition of allometric direction tangent to the directional quantile envelope, which divides ratios of measurements into half-spaces. This in turn provides an operational definition of directional quantile that can be used as cutoff for risk assessment. We show the application of the proposed approach using a large dataset from the Vermont Oxford Network containing observations of birthweight (BW) and head circumference (HC) for more than 150,000 preterm infants. Our analysis suggests that disproportionately growth-restricted infants with a larger HC-to-BW ratio are at increased mortality risk as compared to proportionately growth-restricted infants. The role of maternal hypertension is also investigated.

Quantile contours and allometric modelling for risk classification of abnormal ratios with an application to asymmetric growth-restriction in preterm infants / Geraci, Marco; Boghossian, Nansi; Farcomeni, Alessio; Horbar, Jeffrey. - In: STATISTICAL METHODS IN MEDICAL RESEARCH. - ISSN 0962-2802. - 29:7(2020), pp. 1769-1786. [10.1177/0962280219876963]

Quantile contours and allometric modelling for risk classification of abnormal ratios with an application to asymmetric growth-restriction in preterm infants

GERACI Marco
;
2020

Abstract

We develop an approach to risk classification based on quantile contours and allometric modelling of multivariate anthropometric measurements. We propose the definition of allometric direction tangent to the directional quantile envelope, which divides ratios of measurements into half-spaces. This in turn provides an operational definition of directional quantile that can be used as cutoff for risk assessment. We show the application of the proposed approach using a large dataset from the Vermont Oxford Network containing observations of birthweight (BW) and head circumference (HC) for more than 150,000 preterm infants. Our analysis suggests that disproportionately growth-restricted infants with a larger HC-to-BW ratio are at increased mortality risk as compared to proportionately growth-restricted infants. The role of maternal hypertension is also investigated.
2020
Brain-sparing; child health; growth restriction; index ratio; isoprobability contours; principal component analysis
01 Pubblicazione su rivista::01a Articolo in rivista
Quantile contours and allometric modelling for risk classification of abnormal ratios with an application to asymmetric growth-restriction in preterm infants / Geraci, Marco; Boghossian, Nansi; Farcomeni, Alessio; Horbar, Jeffrey. - In: STATISTICAL METHODS IN MEDICAL RESEARCH. - ISSN 0962-2802. - 29:7(2020), pp. 1769-1786. [10.1177/0962280219876963]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1463910
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