The role of conceptual frameworks in epidemiological analysis: a hierarchical approach.

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ID: 290487
1997
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Abstract
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.
Reference Key
openalex_W2127625194 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors César G. Victora, Sharon Huttly, Sandra Cristina Pereira Costa Fuchs, Maria Teresa Anselmo Olinto
Journal International Journal of Epidemiology
Year 1997
DOI
10.1093/ije/26.1.224
URL
https://doi.org/10.1093/ije/26.1.224
Keywords Keywords not found

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