STATISTICAL METHODS IN HUMAN DEVELOPMENT/CLINICAL STUDIES

该项目旨在为解决问题制定新的统计方法。 并将现有方法应用于这些领域 以新颖的方式解决问题。 继续在两个领域开展工作：（1）统计 人口中出生体重分布的建模，以及 (2)生殖系统发育轨迹的统计模拟 荷尔蒙在儿童青春期。 发展一个令人满意的统计模型， 人口的出生体重将有助于更好地理解 出生体重与婴儿死亡率的关系。 我们已经开发 模型和用于将模型拟合到数据的方法， 测量出生体重分布的选定特征。 我们现在 将我们的技术应用于美国出生体重和围产期死亡率数据 评估死亡率arfe预测的特点， 我们的技术测量的出生体重分布。 血清促性腺激素和性腺激素水平的变化，作为儿童 在青春期发育。 我们已经发展出了对 通过拟合一定的非线性， 对激素水平的对数的回归模型， 睾丸体积或坦纳分期。 我们目前正在比较 FSH、LH和FSH在男孩和女孩之间的发展轨迹， 姑娘们

This project seeks to develop new statistical methodologies for problems in human development and to apply existing methodologies to those problems in novel ways. Work continues in two areas: (1) statistical modeling of the distribution of birthweights in human populations, and (2) statistical modeling of developmental trajectories of reproductive hormones in children through puberty. Development of a satisfactory statistical model for the distribution of birthweights in a population iwll facilitate a refined understanding of the relationship of birthweight to infant mortality. We have developed a model and a method for fitting the model to data that allow us to measure selected features of birthweight distributions. We are now applying our techniques to U.S. birthweight and perinatal mortality data to assess how well mortality rates arfe predicted by features of birthweight distributions that our technique measures. Serum levels of gonadotropins and gonadal hormones change as children develop through puberty. We have develope parsimonious descriptions of hormonal development through puberty by fitting certain nonlinear regression models to hte logarithm of hormone level as a function of either testis volume or Tanner stage. We are currently comparing developmental trajectories of FSH, LH, and inhibin between boys and girls.