STATISTICAL METHODS FOR LONGITUDINAL AND OTHER STUDIES

纵向研究和其他研究的统计方法

• 批准号: 6108035
• 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/6108035
• 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 develop statistical methodology to examine the data collected by NICHD through the projects Small-for-Gestational Age Study I and Study II in Alabama and Scandinavia, and the projects Maternally Linked Longitudinal Studies in Missouri and Utah. A host of statistical procedures will be developed to handle questions concerning various issues in perinatal epidemiology. Methodologically, it is planned to generate new and rigorous statistical methods and algorithms that can generally be applied to studies involving repeatedly measured data. The first phase of the project focuses on the fetal growth applications, maternal risk factors, and pregnancy outcomes.

该项目将开发统计方法来检查数据 NICHD通过小型胎龄研究收集 我和在阿拉巴马州和斯堪的纳维亚半岛学习II，以及母亲 在密苏里州和犹他州有联系的纵向研究。 一群统计 将制定程序来处理有关各种问题的问题 围产期流行病学问题。 从方法上讲，它是计划的 生成新的和严格的统计方法和算法 通常应用于涉及反复测量数据的研究。 这 该项目的第一阶段着重于胎儿生长应用， 产妇危险因素和妊娠结局。