STATISTICAL METHODS FOR LONGITUDINAL AND OTHER STUDIES

纵向研究和其他研究的统计方法

• 批准号: 6290196
• 负责人: Kai F Yu
• 金额: --
• 依托单位: EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6290196
• 关键词: clinical research; data collection methodology /evaluation; disease /disorder proneness /risk; epidemiology; human data; longitudinal human study; perinatal; statistics /biometry

This project will investigate theory, methods and applications of mathematical statistics and probability, with particular emphasis on the problems with data collected by NICHD. Current focus is on the analysis of data arising from longitudinal studies with repeated measurements. Examples of NICHD projects on longitudinal studies are Small-for-Gestational Age Study I and Study II in Alabama and Scandinavia, Maternally Linked Longitudinal Studies in Missouri and Utah, Preventing Problem Behavior Among Middle School Students and Longitudinal Study of Vaginal Flora. A host of statistical procedures for estimation and hypothesis testing will be proposed and investigated for the time varying coefficient models via their asymptotic properties and simulations. Applications will be developed to handle questions concerning various issues in perinatal and reproductive epidemiology. New and rigorous statistical methods and algorithms will be generated and validated through investigation of their statistical and probabilistic properties. Computer-intensive techniques such as bootstrapping methodology will be investigated for the relevant problems. Among the applications of the developed methodology are fetal growth, maternal risk factors and pregnancy outcomes. - longitudinal data, repeated measurements, growth models, time-varying coefficients, nonparametric regression models, smoothing methods

该项目将研究数学统计和概率的理论，方法和应用，并特别强调NICHD收集的数据问题。当前的重点是通过重复测量的纵向研究引起的数据分析。纵向研究的NICHD项目的例子是阿拉巴马州和斯堪的纳维亚半岛的小胎龄研究I和研究II，在密苏里州和犹他州的母亲联系在一起，可防止中学生的问题行为以及阴道植物群的纵向研究。将通过其渐近性能和模拟来提出大量用于估计和假设检验的统计程序。将开发应用程序来处理有关围产期和生殖流行病学各种问题的问题。通过研究其统计和概率特性，将生成和验证新的和严格的统计方法和算法。将针对相关问题研究计算机密集型技术，例如引导方法。在开发方法的应用中，有胎儿的生长，母体危险因素和妊娠结局。 - 纵向数据，重复测量，增长模型，时变系数，非参数回归模型，平滑方法