Cole S R
Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School & Department of Health and Social Behavior, Harvard School of Public Health, 900 Commonwealth Avenue East, Boston, MA 02215, USA.
Comput Methods Programs Biomed. 2001 Jan;64(1):65-9. doi: 10.1016/s0169-2607(00)00088-2.
Commonly used statistical methods and software packages typically assume that observations are independent and identically distributed and fail to account for complex sampling designs when present. I suggest an approach to analyzing complex survey data in SAS, using weighted generalized estimating equations. Limited Monte Carlo simulations support the method. An example demonstrates application of the method and compares results to those from software commonly used in the analysis of complex survey data.
常用的统计方法和软件包通常假定观测值是独立同分布的，并且在存在复杂抽样设计时未能予以考虑。我提出一种在SAS中使用加权广义估计方程来分析复杂调查数据的方法。有限的蒙特卡罗模拟支持该方法。一个示例展示了该方法的应用，并将结果与复杂调查数据分析中常用软件的结果进行了比较。
