The role of conceptual frameworks in epidemiological analysis: A hierarchical approach
The role of conceptual frameworks in epidemiological analysis: A hierarchical approach
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DOI：
10.1093/ije/26.1.224
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发表时间：
1997-02-01
影响因子：
7.7
通讯作者：
Olinto, MTA
中科院分区：
文献类型：
--
作者：
Victora, CG;Huttly, SR;Olinto, MTA
背景。本文讨论了流行病学研究中多变量数据分析的适当策略。方法。在寻找疾病决定因素的研究中，建议通过使用概念框架来最好地管理这些决定因素之间复杂的层次相互关系。在流行病学文献中，未能考虑到这些方面的情况很常见，并导致低估远端决定因素的影响。结果。给出了这种分析方法的一个例子，该方法并非纯粹基于统计关联，用于评估儿童腹泻引起的死亡率的决定因素。结论。概念框架为多元技术的使用提供指导，并帮助根据社会和生物学知识解释其结果。
Background. This paper discusses appropriate strategies for multivariate data analysis in epidemiological studies. Methods. In studies where determinants of disease are sought, it is suggested that the complex hierarchical inter-relationships between these determinants are best managed through the use of conceptual frameworks. Failure to take these aspects into consideration is common in the epidemiological literature and leads to underestimation of the effects of distal determinants.Results. An example of this analytical approach, which is not based purely on statistical associations, is given for assessing determinants of mortality due to diarrhoea in children.Conclusions. Conceptual frameworks provide guidance for the use of multivariate techniques and aid the interpretation of their results in the light of social and biological knowledge.