Ezzati-Rice T M, Murphy R S
National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD 20782, USA.
Environ Health Perspect. 1995 Apr;103 Suppl 3(Suppl 3):55-9. doi: 10.1289/ehp.95103s355.
Data obtained from national probability sample surveys provide important information on the prevalence of various health conditions and distributions of physical and biochemical characteristics of the U.S. population. The sample design of a survey specifies how sampling from a designated population over a stated period is to be accomplished. A survey's analytical objectives and interests--in particular subpopulations--affect the sample design strategy. Selected subdomains of the population often must be oversampled so that estimates can be made with acceptable precision. This article addresses sample design considerations for a national probability sample for human tissue monitoring and specimen banking. Among the sampling issues addressed are the oversampling of special populations e.g., minority groups and at-risk groups such as low income or elderly persons; geographic coverage; and sample size considerations. The sample design for a major health survey, the Third National Health and Nutrition Examination Survey (NHANES III), is used to illustrate a complex, multistage probability sample design and to highlight some of the sampling issues discussed in this article.
从全国概率抽样调查中获得的数据提供了关于美国人口各种健康状况的患病率以及身体和生化特征分布的重要信息。一项调查的样本设计规定了在规定时期内如何从指定人群中进行抽样。一项调查的分析目标和兴趣点——特别是亚人群——会影响样本设计策略。通常必须对人群中选定的子域进行过度抽样,以便能够以可接受的精度进行估计。本文讨论了用于人体组织监测和标本库的全国概率样本的样本设计考虑因素。所涉及的抽样问题包括特殊人群(如少数群体)和高危人群(如低收入或老年人)的过度抽样;地理覆盖范围;以及样本量的考虑因素。一项主要健康调查——第三次全国健康与营养检查调查(NHANES III)的样本设计,被用来阐释一种复杂的多阶段概率样本设计,并突出本文所讨论的一些抽样问题。