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. (28th August 2017)

• Record Type: Journal Article
• Authors: Ortega‐Villa, Ana Maria; Grantz, Katherine L.; Albert, Paul S.
• Is Part Of: Journal of the Royal Statistical Society. Volume 181:Number 3(2018)
• Page Start: 825
• Page End: 842
• Publication Date: 2017-08-28
• Subjects: Measurement error -- Onset time estimaton -- Prediction -- Regression–calibration; Social sciences -- Statistical methods -- Periodicals; Statistics -- Periodicals; 300.15195
• DOI: 10.1111/rssa.12312
• Languages: English
• ISSNs: 0964-1998

Abstract

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.