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Estimating onset time from longitudinal and cross‐sectional data with an application to estimating gestational age from longitudinal maternal anthropometry during pregnancy and neonatal anthropometry at birth

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  • Ana Maria Ortega‐Villa
  • Katherine L. Grantz
  • Paul S. Albert

Abstract

Determining the date of conception is important for estimating gestational age and monitoring whether the fetus and mother are on track in their development and pregnancy. Various methods based on ultrasound have been proposed for dating a pregnancy in high resource countries. However, such techniques may not be available in under‐resourced countries. We develop a shared random‐parameter model for estimating the date of conception by using longitudinal assessment of multiple maternal anthropometry and cross‐sectional neonatal anthropometry. The methodology is evaluated with a training–test set paradigm as well as with simulations to examine the robustness of the method to model misspecification. We illustrate this new methodology with data from the National Institute of Child Health and Development fetal growth studies.

Suggested Citation

  • Ana Maria Ortega‐Villa & Katherine L. Grantz & Paul S. Albert, 2018. "Estimating onset time from longitudinal and cross‐sectional data with an application to estimating gestational age from longitudinal maternal anthropometry during pregnancy and neonatal anthropometry ," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 825-842, June.
    • Handle: RePEc:bla:jorssa:v:181:y:2018:i:3:p:825-842
    DOI: 10.1111/rssa.12312
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    References listed on IDEAS

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    1. Steffen Fieuws & Geert Verbeke, 2006. "Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles," Biometrics, The International Biometric Society, vol. 62(2), pages 424-431, June.
    2. Verbeke, Geert & Lesaffre, Emmanuel, 1997. "The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 23(4), pages 541-556, February.
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