METHODS FOR COMPARING AND ANALYZING DATA FROM SEVERAL COMPLEX SURVEYS

这项研究将开发用于数据分析的统计方法 从复杂的设计调查中提取数据，并使用 全国健康与营养检查调查一、二 (NHANES)。现有的多元线性回归方法 对来自复杂调查的数据的分析与新的 发展了回归方法。这些回归方法将是 应用于NHANES数据集，以确定它们是否可以使用 提供有关……复杂关系的新信息 生长和营养。这项研究的初步结果 结果表明，新开发的回归模型能够更好地 描述数据中的复杂关系。这项研究正在进行 部分通过与Research签订的研究合同进行 三角研究所将与NICHD合作开展 走出这项研究。在本合同期间，手稿将 为出版做好准备，该出版物将介绍 随着计算机程序的开发而进行研究 将该方法应用于实际数据。

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.