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The missed lessons of Sir Austin Bradford Hill
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...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC524370/ https://www.ncbi.nlm.nih.gov/pubmed/15507128 http://dx.doi.org/10.1186/1742-5573-1-3 |
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author | Phillips, Carl V Goodman, Karen J |
author_facet | Phillips, Carl V Goodman, Karen J |
author_sort | Phillips, Carl V |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-524370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-5243702004-10-29 The missed lessons of Sir Austin Bradford Hill Phillips, Carl V Goodman, Karen J Epidemiol Perspect Innov Analytic Perspective 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. BioMed Central 2004-10-04 /pmc/articles/PMC524370/ /pubmed/15507128 http://dx.doi.org/10.1186/1742-5573-1-3 Text en Copyright © 2004 Phillips and Goodman; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Analytic Perspective Phillips, Carl V Goodman, Karen J The missed lessons of Sir Austin Bradford Hill |
title | The missed lessons of Sir Austin Bradford Hill |
title_full | The missed lessons of Sir Austin Bradford Hill |
title_fullStr | The missed lessons of Sir Austin Bradford Hill |
title_full_unstemmed | The missed lessons of Sir Austin Bradford Hill |
title_short | The missed lessons of Sir Austin Bradford Hill |
title_sort | missed lessons of sir austin bradford hill |
topic | Analytic Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC524370/ https://www.ncbi.nlm.nih.gov/pubmed/15507128 http://dx.doi.org/10.1186/1742-5573-1-3 |
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