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Mendelian Randomisation and Causal Inference in Observational Epidemiology
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Mendelian Randomisation and Causal Inference in Observational Epidemiology
Mendelian Randomisation and Causal Inference in Observational Epidemiology
Journal Article

Mendelian Randomisation and Causal Inference in Observational Epidemiology

2008
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Overview
[...]observational evidence that seemed to suggest that vitamin E is protective for cardiovascular disease, beta-carotene for cancer, and, more recently, oestrogen for dementia, has now been refuted [4]. Since only candidate causes with the strongest observational support tend to be followed up in RCTs when these are possible, it is likely that many more reported observational findings are not actually causal [5]. In practice, one can never be sure that the relevant confounders have been identified and accounted for. Besides the fact that RCTs are not feasible or ethical for many exposures of public health relevance, such as toxins, physical activity, or complex nutritional regimes, observational studies also have some advantages over RCTs; for example, the subjects in the latter are not always representative of the population for which an intervention is being considered [6].