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首页> 外文期刊>Emerging themes in epidemiology >What’s more general than a whole population?
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What’s more general than a whole population?

机译：有什么比总人口更普遍的呢？

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摘要

Statistical inference is commonly said to be inapplicable to complete population studies, such as censuses, due to the absence of sampling variability. Nevertheless, in recent years, studies of whole populations, e.g., all cases of a certain cancer in a given country, have become more common, and often report p values and confidence intervals regardless of such concerns. With reference to the social science literature, the current paper explores the circumstances under which statistical inference can be meaningful for such studies. It concludes that its use implicitly requires a target population which is wider than the whole population studied — for example future cases, or a supranational geographic region — and that the validity of such statistical analysis depends on the generalizability of the whole to the target population.
机译：通常认为，由于缺乏抽样变异性，统计推断不适用于完整的人口研究，例如人口普查。然而，近年来，对整个人群的研究（例如，在给定国家中某种癌症的所有病例）已经变得更加普遍，并且不管这种担忧如何，都经常报告p值和置信区间。参考社会科学文献，本论文探讨了在何种情况下统计推断对此类研究有意义。结论是，使用它隐含地需要一个目标人口，该目标人口要比研究的整个人口（例如未来的案例或一个超国家地理区域）要宽，并且这种统计分析的有效性取决于整体对目标人口的可概括性。

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