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
提出一种共享随机参数模型，利用孕期母体人体测量纵向数据和新生儿出生时人体测量横截面数据来估计受孕日期，适用于资源匮乏地区替代超声方法。
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 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 NICHD Fetal Growth Studies.