METHODS FOR COMPARING AND ANALYZING DATA FROM SEVERAL COMPLEX SURVEYS

比较和分析多项复杂调查数据的方法

• 批准号: 3942083
• 负责人: B I GRAUBARD
• 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/3942083
• 关键词: child physical development; data collection methodology /evaluation; family structure /dynamics; health surveys; human population growth; information systems; nutrition; nutrition related tag; statistics /biometry; vital statistics

This study will develop statistical methods for the analysis of data from complex designed surveys and test them empirically using the National Health and Nutrition Examination Survey I and II (NHANES). Existing multiple linear regression methods for the analysis of data from complex surveys are compared to newly developed regression methods. These regression methods will be applied to the NHANES data sets to determine if they can be used to provide new information on the complex relationships of growth and nutrition. The preliminary results from this research indicate that the newly developed regression models can better describe complex relationships in the data. This research is being pursued in part through a research contract with the Research Triangle Institute to work in collaboration with NICHD to carry out this study. Over the course of this contract, manuscripts will be prepared for publication which will present the results of the study along with the development of computer programs for applying the methods to real data.

这项研究将发展用于分析数据的统计方法 从复杂的设计调查，并测试他们的经验， 国家健康和营养调查I和II （NHANES）。 现有的多元线性回归方法 对复杂调查数据的分析与新的 开发回归方法。 这些回归方法将 应用于NHANES数据集，以确定它们是否可以用于 提供新的信息， 生长和营养。 这项研究的初步结果 表明新开发的回归模型可以更好地 描述数据中的复杂关系。 这项研究正在 部分通过与研究中心签订研究合同进行 三角研究所将与NICHD合作， 在这项研究。 在本合同期间，手稿将 准备出版，其中将介绍的结果， 沿着计算机程序的发展， 将所述方法应用于真实的数据。