METHODS FOR COMPARING AND ANALYZING DATA FROM SEVERAL COMPLEX SURVEYS

这项研究，将发展统计方法来分析数据 从复杂的抽样调查中提取数据，并使用National 健康和营养检查调查I和II(NHANES)。这项研究 专注于测试关于系数的假设的方法 由调查数据的多元线性回归得出。现有方法 使用Wald检验统计数据的数据与新开发的数据进行了比较 基于Bonferroni t-统计量和刀切Wald的方法 统计数据。这些回归方法已在NHANES中得到应用 数据集，以确定它们是否可用于提供分析方法 生长和营养的复杂关系。 适合全民健康访谈的调查统计方法 调查(NHIS)已经开始。来自《儿童健康补充资料》的数据集 NHIS，1988也将被审查。

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 have been 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. Survey statistical methods proper for the National Health Interview Survey (NHIS) have begun. Data sets from the Child Health Supplement of NHIS, 1988 will also be examined.