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 复杂的抽样调查，并利用国民健康保险进行实证检验 和营养检查调查I和II(NHANES)。这项研究 专注于测试关于派生出的系数的假设的方法 从调查数据的多元线性回归。现有的方法使用 Wald测试统计数据与新开发的方法进行了比较，这些方法基于 Bonferroni t-统计量和刀切Wald统计量。这些回归 方法将应用于NHANES数据集，以确定它们是否可以 用于提供分析增长和增长之间复杂关系的方法 营养。

This study will develop statistical methods for the analysis of data from complex sample surveys and test them empirically using the National Health and Nutrition Examination Survey I and II (NHANES). The research concentrates on ways to test hypotheses about the coefficients that derive from multiple linear regression of survey data. Existing methods which use Wald test statistics are compared to newly developed approaches based upon Bonferroni t-statistics and jackknifed Wald statistics. These regression methods will be applied to the NHANES data sets to determine if they can be used to provide ways to analyze the complex relationships of growth and nutrition.