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. 2004 Oct 4;1(1):3.
doi: 10.1186/1742-5573-1-3.

The missed lessons of Sir Austin Bradford Hill

Affiliations

The missed lessons of Sir Austin Bradford Hill

Carl V Phillips et al. Epidemiol Perspect Innov. .

Abstract

Austin Bradford Hill's landmark 1965 paper contains several important lessons for the current conduct of epidemiology. Unfortunately, it is almost exclusively cited as the source of the "Bradford-Hill criteria" for inferring causation when association is observed, despite Hill's explicit statement that cause-effect decisions cannot be based on a set of rules. Overlooked are Hill's important lessons about how to make decisions based on epidemiologic evidence. He advised epidemiologists to avoid over-emphasizing statistical significance testing, given the observation that systematic error is often greater than random error. His compelling and intuitive examples point out the need to consider costs and benefits when making decisions about health-promoting interventions. These lessons, which offer ways to dramatically increase the contribution of health science to decision making, are as needed today as they were when Hill presented them.

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References

    1. Hill AB. The environment and disease: association or causation? Proc R Soc Med. 1965;58:295–300. - PMC - PubMed
    1. Rothman KJ, Greenland S. Causation and causal inference. In: Rothman KJ, Greenland S, editor. In Modern Epidemiology. Philadelphia: Lippencott-Raven; 1998. pp. 7–28.
    1. Maldonado G, Greenland S. Estimating causal effects. Int J Epidemiol. 2002;31:422–429. doi: 10.1093/ije/31.2.422. - DOI - PubMed
    1. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10:37–48. doi: 10.1097/00001648-199901000-00005. - DOI - PubMed
    1. Greenland S. Causality theory for policy uses of epidemiologic measures. . In: Murray CJL, Salomon JA, Mathers CD, Lopez AD, editor. Summary Measures of Population Health. Cambridge Harvard University Press/World Health Organization; 2002. pp. 291–302.

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