STATISTICAL METHODS IN HUMAN DEVELOPMENT/CLINICAL STUDIES

发起该项目是为了开发新的统计方法 人类发展中的问题，并将现有方法应用于 以新奇的方式解决这些问题。目前已在两个方面展开工作：(一) 儿童生殖激素血清浓度的统计模拟 青春期儿童和(2)分布的统计模型 人类人口出生体重的比例。 脑下垂体促性腺激素和性腺激素的分泌是搏动性的； 血清图谱显示不同的峰和不规则的间距。带着一个 适当的统计模型，人们可以用一个 参数很少，允许在正常和正常的受试者之间进行比较 青春期发育异常。这样的比较将提供洞察力 研究功能失调的发育机制。我们目前正在 评估用于成人激素谱的模型，看看它们是否 也要对青春期前儿童进行适当的描述。这些 模型一次只能使用一种激素；我们的长期目标是 开发荷尔蒙组合作为相互作用系统的模型。 开发一个令人满意的分布统计模型 人口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。我们已经开发出 允许对出生体重进行简明描述的模型 分布，并可用于调查社会和 环境对出生体重分布的影响。

This project was initiated to develop new statistical methodologies for problems in human development and to apply existing methodologies to those problems in novel ways. Work has begun in two areas: (1) statistical modeling of serum concentrations of reproductive hormones in peripubertal children and (2) statistical modeling of the distribution of birth weights in human populations. Secretion of pituitary gonadotropins and gonadal hormones is pulsatile; serum profiles exhibit distinct peaks with irregular spacings. With an appropriate statistical model, one could describe these profiles with a few parameters, allowing comparisons among subjects with normal and abnormal pubertal development. Such comparisons would provide insight into mechanisms of dysfunctional development. We are currently evaluating models used for adult hormone profiles to see whether they also provide adequate descriptions in prepubertal children. These models are limited to one hormone at at a time; our long term goal is to develop models for suites of hormones as interacting systems. Development of a satisfactory statistical model for the distribution of birth weights in a population will facilitate a refined understanding of the relationship of birthweight to infant mortality. We have developed a model which allows a parsimonious description of a birth weight distribution and which can be used to investigate social and environmental influences on birthweight distributions.