Professor Marco Geraci, from the Arnold School of Public Health, University of South Carolina, will present the following seminar on Friday 13th July, 1pm at room PUW3, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH. All welcome.
Multivariate quantile contours and allometric modelling with an application to anthropometric charts in preterm infants
In this talk, I will present a novel approach to risk classification based on quantile contours and allometric modelling of multivariate anthropometric measurements. I 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. I will apply the proposed approach to a large dataset from the Vermont Oxford Network containing observations of birthweight and head circumference for more than 150,000 preterm infants. The analysis suggests that small preterm infants with large HC-to-BW ratio are at increased mortality risk as compared to appropriate-for-gestational-age as well as proportionately-growth-restricted preterm infants. This study offers not only an approach to risk classification, but also large-sample estimated cutoffs that can be immediately used by practitioners.
Mario Cortina Borja
Professor of Biostatistics | UCL Great Ormond Street Institute of Child Health
Faculty of Population Health Sciences
University College London
30 Guilford Street, London, WC1N 1EH
020 7905 2113
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