West Brady T
Center for Statistical Consultation and Research at the University of Michigan-Ann Arbor, Ann Arbor, MI 48109, USA.
J Trauma Stress. 2008 Oct;21(5):440-7. doi: 10.1002/jts.20356.
Standard methods for the analysis of survey data assume that the data arise from a simple random sample of the target population. In practice, analysts of survey data sets collected from nationally representative probability samples often pay little attention to important properties of the survey data. Standard statistical software procedures do not allow analysts to take these properties of survey data into account. A failure to use more specialized procedures designed for survey data analysis can impact both simple descriptive statistics and estimation of parameters in multivariate models. In this article, the author provides trauma researchers with a practical introduction to specialized methods that have been developed for the analysis of complex sample survey data.
调查数据分析的标准方法假定数据来自目标人群的简单随机样本。实际上，从具有全国代表性的概率样本中收集的调查数据集的分析人员通常很少关注调查数据的重要属性。标准统计软件程序不允许分析人员考虑调查数据的这些属性。未能使用为调查数据分析设计的更专业的程序可能会影响简单描述性统计和多变量模型中参数的估计。在本文中，作者为创伤研究人员提供了对为分析复杂样本调查数据而开发的专业方法的实用介绍。
