文章基本信息

标题：What’s more general than a whole population?
本地全文：下载
作者：Neal Alexander
期刊名称：Emerging Themes in Epidemiology
印刷版ISSN：1742-7622
电子版ISSN：1742-7622
出版年度：2015
卷号：12
期号：1
页码：11
DOI：10.1186/s12982-015-0029-4
语种：English
出版社：BioMed Central
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.
关键词：Target Population ; Statistical Inference ; Acute Leukemia ; Credible Interval ; National Cancer Registry