Abstract:
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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.
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