The Study Of Fetal Growth And Development Speed Based On Functional Data Analysis

Discussing fetal growth is an important topic in recent years.In clinical study,the fetal growth curve which can be regarded as a function of the gestation has more clinical significance than fetal size at a specific time.So the analysis using the functional data model is more significant than the discrete statistical model.This article is embedded in a previous cohort built in one hospital in Shanghai with the study period ranging from 14 weeks to 41 weeks of pregnancy.And the data is sparse and irregular.For this type of data,this article uses the PACE method to estimate the fetal development velocity curves.Because this article studies the growth rate of the fetus,and most of the models in the functional data model only reflect the relationship between the actual observed size and the independent variables,which can not meet the research in this article.Therefore,this article proposes a functional data model that uses the velocity curve as the dependent variable.In addition,this article chooses three indexes of the fetal which is double parietal diameter,femoral length,and abdominal circumference to reflect the fetal growth and development.This article also considers mining the common potential factors among these three variables.For this purpose,this article proposes a functional mixed-effects model of the multiple dependent variables,and applies it to the actual data analysis with the velocity curves as the dependent variables.