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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.
The Journal of the Royal Statistical Society, Series A (Statistics in Society) ( IF 1.5 ) Pub Date : 2018-06-05 , DOI: 10.1111/rssa.12312
Ana Maria Ortega-Villa 1 , Katherine L Grantz 2 , Paul S Albert 3
Affiliation  

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.

中文翻译:

根据纵向和横截面数据估算发病时间,并将其用于根据妊娠期间的纵向母亲人体测量法和出生时的新生儿人体测量法估算胎龄。

确定受孕的日期对于估计胎龄和监测胎儿和母亲的发育和怀孕是否步入正轨很重要。在高资源国家,已经提出了各种基于超声的方法来对怀孕进行约会。但是,这种技术在资源贫乏的国家可能不可用。我们开发了一个共享的随机参数模型,用于通过对多个产妇人体测量学和横断面新生儿人体测量学的纵向评估来估计受孕的日期。通过训练测试集范式以及模拟来评估该方法,以检查该方法对错误指定进行建模的鲁棒性。我们用NICHD胎儿生长研究的数据说明了这种新方法。
更新日期:2019-11-01
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