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How many are affected? A real limit of epidemiology

A person can experience an effect on the occurrence of an outcome in a defined follow-up period without experiencing an effect on the risk of that outcome over the same period. Sufficient causes are sometimes used to deepen potential-outcome explanations of this phenomenon. In doing so, care should...

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Detalles Bibliográficos
Autor principal: Poole, Charles
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936291/
https://www.ncbi.nlm.nih.gov/pubmed/20735844
http://dx.doi.org/10.1186/1742-5573-7-6
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author Poole, Charles
author_facet Poole, Charles
author_sort Poole, Charles
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description A person can experience an effect on the occurrence of an outcome in a defined follow-up period without experiencing an effect on the risk of that outcome over the same period. Sufficient causes are sometimes used to deepen potential-outcome explanations of this phenomenon. In doing so, care should be taken to avoid tipping the balance between simplification and realism too far toward simplification. Death and other competing risks should not be assumed away. The time scale should be explicit, with specific times for the occurrence of specified component causes and for the completion of each sufficient cause. Component causes that affect risk should occur no later than the start of the risk period. Sufficient causes should be allowed to have component causes in common. When individuals experience all components of two or more sufficient causes, the outcome must be recurrent. In addition to effects on rates and risks, effects on incidence time itself should be considered.
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spelling pubmed-29362912010-09-10 How many are affected? A real limit of epidemiology Poole, Charles Epidemiol Perspect Innov Commentary A person can experience an effect on the occurrence of an outcome in a defined follow-up period without experiencing an effect on the risk of that outcome over the same period. Sufficient causes are sometimes used to deepen potential-outcome explanations of this phenomenon. In doing so, care should be taken to avoid tipping the balance between simplification and realism too far toward simplification. Death and other competing risks should not be assumed away. The time scale should be explicit, with specific times for the occurrence of specified component causes and for the completion of each sufficient cause. Component causes that affect risk should occur no later than the start of the risk period. Sufficient causes should be allowed to have component causes in common. When individuals experience all components of two or more sufficient causes, the outcome must be recurrent. In addition to effects on rates and risks, effects on incidence time itself should be considered. BioMed Central 2010-08-24 /pmc/articles/PMC2936291/ /pubmed/20735844 http://dx.doi.org/10.1186/1742-5573-7-6 Text en Copyright ©2010 Poole; 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 Commentary
Poole, Charles
How many are affected? A real limit of epidemiology
title How many are affected? A real limit of epidemiology
title_full How many are affected? A real limit of epidemiology
title_fullStr How many are affected? A real limit of epidemiology
title_full_unstemmed How many are affected? A real limit of epidemiology
title_short How many are affected? A real limit of epidemiology
title_sort how many are affected? a real limit of epidemiology
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936291/
https://www.ncbi.nlm.nih.gov/pubmed/20735844
http://dx.doi.org/10.1186/1742-5573-7-6
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