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检验统计量与新开发的基于 基于Bonferroni t-统计量和截断的Wald统计量。这些 已将回归方法应用于NHANES数据集，以确定 如果它们可以用来提供分析复杂关系的方法 关于生长和营养的。适合中国国情的调查统计方法 全国健康访谈调查(NHIS)已经开始。数据集来自 还将审查1988年国民健康保险制度的儿童健康补充资料。该项目 拟于1993年底完成。

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. The project is proposed to be completed by the end of 1993.