Classification of births by birth weight and gestational age: an application of multivariate mixture models
Classification of births by birth weight and gestational age: an application of multivariate mixture models
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DOI：
10.1080/03014460310001592678
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发表时间：
2003-09-01
影响因子：
1.7
通讯作者：
Gage, TB
中科院分区：
文献类型：
--
作者：
Gage, TB
背景资料：分类，如低出生体重，早产，小于胎龄，即妥协出生，一直受到批评，因为他们依赖于任意的标准，可能不适合所有population.Aim：本研究应用多元高斯混合模型与协变量来表征出生体重的胎龄分布。主题和方法：数据包括1988年纽约州出生的亚裔、非裔、西班牙裔和欧洲裔美国人。分析采用最大似然法。结果：出生队列出现异质性和至少由两个亚群。一个亚群占出生的大多数，具有较高的平均出生体重和胎龄，但方差较小。另一个亚群的平均出生体重和胎龄较低，但差异非常大。由于差异很大，这一亚群的出生率受到影响。该模型还表明，一些受损的出生发生在正常的出生体重和胎龄范围内。在正常分娩中，出生体重随着母亲年龄的增加而增加，胎龄随着母亲年龄的增加而减少。对妥协出生的影响各不相同population.Conclusions：多元高斯混合模型提供了一种方法，确定妥协出生，是不依赖于任意的标准。
Background: Classifications such as low birth weight, premature, and small for gestational age, i.e. compromised births, have been criticized because they depend upon arbitrary standards that may not be appropriate for all populations.Aim: This study applies multivariate Gaussian mixture models with covariates to characterize birth weight by gestational age distributions.Subjects and methods: The data consist of Asian, African, Hispanic and European American births in New York State in 1988. The analysis employs maximum likelihood methods.Results: Birth cohorts appear heterogeneous and composed of at least two sub-populations. One sub-population accounts for the majority of births, has a higher mean birth weight and gestational age but small variances. The other sub-population has a lower mean birth weight and gestational age but very large variances. As a result of the large variances this sub-population accounts for compromised births. The model also suggests that a number of compromised births occur within the normal birth weight and gestational age range. Among normal births, birth weight increases and gestational age declines with maternal age. The effects on compromised births vary among populations.Conclusions: Multivariate Gaussian mixture models provide a method of identifying compromised births that is not dependent upon arbitrary standards.