METHODS FOR COMPARING AND ANALYZING DATA FROM SEVERAL COMPLEX SURVEYS

这项研究将开发统计方法来分析以下数据 复杂的设计调查，并使用国家 健康和营养检查调查I和II(NHANES)。现有 复杂数据分析的多元线性回归方法 调查结果与新开发的回归方法进行了比较。这些 将对NHANES数据集应用回归方法，以确定是否 它们可用于提供有关以下各项复杂关系的新信息 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复杂的 数据中的关系。这项研究部分是通过 与三角研究院签订的研究合同 与NICHD合作开展这项研究。在这个过程中 合同，将准备出版手稿，并将提交 随着计算机程序的发展，这项研究的结果 将这些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.