Department of Community Health Sciences, Faculty of Medicine, University of Manitoba,750 Bannatyne Avenue, Winnipeg, Manitoba, Canada.
Am J Epidemiol. 2011 Nov 15;174(10):1101-7. doi: 10.1093/aje/kwr241. Epub 2011 Sep 22.
The ecologic study design is routinely used by epidemiologists in spite of its limitations. It is presently unknown how well the challenges of the design are dealt with in epidemiologic research. The purpose of this bibliometric review was to critically evaluate the characteristics, statistical methods, and reporting of results of modern cross-sectional ecologic papers. A search through 6 major epidemiology journals identified all cross-sectional ecologic studies published since January 1, 2000. A total of 125 articles met the inclusion requirements and were assessed via common evaluative criteria. It was found that a considerable number of cross-sectional ecologic studies use unreliable methods or contain statistical oversights; most investigators who adjusted their outcomes for age or sex did so improperly (64%), statistical validity was a potential issue for 20% of regression models, and simple linear regression was the most common analytic approach (31%). Many authors omitted important information when discussing the ecologic nature of their study (31%), the choice of study design (58%), and the susceptibility of their research to the ecological fallacy (49%). These results suggest that there is a need for an international set of guidelines that standardizes reporting on ecologic studies. Additionally, greater attention should be given to the relevant biostatistical literature.
生态研究设计尽管存在局限性,但仍被流行病学家常规使用。目前尚不清楚在流行病学研究中,该设计的挑战处理得如何。本文献计量学综述的目的是批判性地评估现代横断面生态学论文的特征、统计方法和结果报告。通过对 6 种主要的流行病学杂志进行搜索,确定了自 2000 年 1 月 1 日以来发表的所有横断面生态学研究。共有 125 篇文章符合纳入标准,并通过常见的评估标准进行了评估。结果发现,相当数量的横断面生态学研究使用不可靠的方法或存在统计上的疏忽;大多数对年龄或性别进行调整的研究者(64%)的调整方法不正确,20%的回归模型存在统计有效性问题,简单线性回归是最常见的分析方法(31%)。许多作者在讨论研究的生态学性质(31%)、研究设计的选择(58%)以及研究对生态学谬误的敏感性(49%)时省略了重要信息。这些结果表明,需要制定一套国际指南,规范生态学研究的报告。此外,应更加关注相关的生物统计学文献。