This paper demonstrates that measurement error can conspire with multicollinearity among explanatory variables to mislead an investigator. A causal variable measured with error may be overlooked and its significance transferred to a surrogate. The latter's significance can then be entirely spurious,
Causality assessment in epidemiology
โ Scribed by Paolo Vineis
- Publisher
- Springer Netherlands
- Year
- 1991
- Tongue
- English
- Weight
- 611 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1573-1200
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โฆ Synopsis
Epidemiology relies upon a broad interpretation of determinism. This paper discusses analogies with the evolution of the concept of cause in physics, and analyzes the classical nine criteria proposed by Sir Austin Bradford Hill for causal assessment. Such criteria fall into the categories of enumerative induction, eliminative induction, deduction and analogy. All of these four categories are necessary for causal assessment and there is no natural hierarchy among them, although a 'deductive' analysis of the study design is preliminary to any assessment.
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