METHODS FOR COMPARING AND ANALYZING DATA FROM SEVERAL COMPLEX SURVEYS

这项研究将开发统计方法，用于分析来自 复杂的抽样调查，并使用国家卫生 营养检查调查I和II（NHANES）。研究 集中在方法来测试有关系数的假设， 从调查数据的多元线性回归。现有方法使用 Wald检验统计量与新开发的基于 Bonferroni t统计量和折刀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.