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Activity Number: 349 - Longitudinal, Spatial, and Bayesian Methods
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #329022 Presentation
Title: Estimating Gestational Age from Maternal and Neonatal Anthropometry
Author(s): Ana Maria Ortega-Villa* and Paul S Albert
Companies: National Institutes of Health and National Cancer Institute
Keywords: Longitudinal Data; Shared random parameter; Obstetrics
Abstract:

Accurate assessment of gestational age at birth is necessary for optimal infant care. In high resource countries, several methods using ultrasound have been proposed to assess gestational age at birth, however, these methods are not easily accessible for low-resource populations. We develop a series of shared random parameter models for estimating gestational age at birth from longitudinal maternal anthropometry, cross-sectional neonatal anthropometry and additional maternal information from the last menstrual period, a measure of gestational age collected with sizable measurement error. The proposed methodologies are evaluated using simulation studies under a training-test set paradigm. We illustrate the proposed methodologies with data from the NICHD Fetal Growth Studies.


Authors who are presenting talks have a * after their name.

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