STATISTICAL METHODS FOR REPRODUCTIVE EPIDEMIOLOGY

生殖流行病学统计方法

• 批准号: 3317692
• 负责人: VICKI Stover HERTZBERG
• 金额: $ 6.63万
• 依托单位: UNIVERSITY OF CINCINNATI
• 依托单位国家: 美国
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-05-01 至 1990-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3317692
• 关键词: case history; computer simulation; congenital disorders; disease /disorder proneness /risk; environmental toxicology; epidemiology; mathematical model; occupational hazard; pregnancy disorder; pregnancy loss; premature infant human; teratogens

Currently reproductive epidemiology studies are performed to identify hazards to human reproduction, both in terms of occupational and environmental risk factors as well as host risk factors. The entire pregnancy history for a couple is taken in such a study. However, within a family, pregnancy outcomes are not independent events. For instance, some studies have suggested that within a family the occurrence of a fetal loss is associated with greater chance of subsequent fetal loss. In addition, this nonindependence is also true for outcomes such as preterm delivery and for low birth weight offspring. Thus, statistical procedures which assume independent observations may not give the correct interpretation to the results. The dependence of observations made in the same family has long been recognized in the analysis of data from animal studies and methods to deal with the problem in this context have been proposed. However, few methods have been proposed for use in the analysis of data from human reproductive studies. Methods proposed for analysis of animal data, where multiple conceptuses are exposed simultaneously, may not be appropriate for the analysis of human reproductive data in which exposure or other variables may vary from pregnancy to pregnancy. One such method has been proposed by Kissling (1981) and was applied to data from an occupational reproductive study. This work will examine four broad classes of models for use in the analysis of human reproductive outcomes. Methods for parameter estimation and hypothesis testing will be developed that can be used when observations are not independent, as is the case in reproductive studies. The properties of these estimators and tests will be extensively studied through a multitude of Monte Carlo simulation studies. These models will be applied to an existing occupational reproductive epidemiology data set examining the effects of styrene exposure on reproductive function. The results of analyses for the different models as well as for the analysis of this data set using the simple logistic model, which ignores the independence issue, will be compared and contrasted to each other.

目前正在进行生殖流行病学研究以确定 对人类生殖的危害，包括职业危害和 环境风险因素和宿主风险因素。 整个 在这样的研​​究中记录了一对夫妇的怀孕史。 然而，在一个 家庭、妊娠结局不是独立事件。 例如，一些 研究表明，在一个家庭中，胎儿丢失的发生 与随后胎儿流产的可能性更大有关。 此外， 这种非独立性对于早产等结果也是如此。 对于低出生体重的后代。 因此，统计程序假设 独立观察可能无法给出正确的解释 结果。 在同一家庭中进行的观察的依赖性长期以来一直存在 在动物研究数据分析和方法中得到认可 在此背景下针对问题的处理提出了建议。 然而，很少有 已提出用于分析人类数据的方法 生殖研究。 为分析动物数据而提出的方法，其中 同时暴露多个概念，可能不适合 对人类生殖数据的分析，其中暴露或其他 变量可能因怀孕而异。 一种这样的方法是 Kissling (1981) 提出并应用于职业数据 生殖研究。 这项工作将研究用于分析的四大类模型 人类生殖结果。 参数估计方法和 将开发假设检验，可以在观察到结果时使用 不独立，就像生殖研究的情况一样。 的属性 这些估计器和测试将通过大量的广泛研究 蒙特卡罗模拟研究。 这些模型将被应用到 现有的职业生殖流行病学数据集检查了 苯乙烯暴露对生殖功能的影响。 结果 对不同模型的分析以及对这些数据的分析 使用简单的逻辑模型设置，忽略了独立性问题， 将会相互比较和对比。