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分析使用复杂样本设计收集的健康调查数据时的重要注意事项。

Important considerations when analyzing health survey data collected using a complex sample design.

机构信息

Joseph W. Sakshaug is with the Department of Statistical Methods, German Institute for Employment Research, Nuremberg, and the Ludwig Maximilian University of Munich, Munich, Germany. Brady T. West is with the Survey Research Center and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor.

出版信息

Am J Public Health. 2014 Jan;104(1):15-6. doi: 10.2105/AJPH.2013.301515. Epub 2013 Nov 14.

Abstract

Researchers often use survey data to answer important public health policy questions. Examples of common data sources used in public health research include the National Health and Nutrition Examination Survey, the National Health Interview Survey, the Medical Expenditure Panel Survey, and the National Ambulatory Medical Care Survey. All these surveys employ a complex sample design to recruit participants into the survey. When performing secondary analyses of complex sample survey data, it is necessary to remind ourselves of the key features of these designs that must be taken into account to produce valid statistical estimates.

摘要

研究人员经常使用调查数据来回答重要的公共卫生政策问题。公共卫生研究中常用的常见数据源示例包括国家健康和营养检查调查、国家健康访谈调查、医疗支出面板调查和国家门诊医疗保健调查。所有这些调查都采用复杂的样本设计来招募参与者参与调查。在对复杂样本调查数据进行二次分析时,有必要提醒自己这些设计的关键特征,必须考虑这些特征才能得出有效的统计估计。

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