Causal pie model
In the field of epidemiology, the causal mechanisms responsible for diseases can be understood using the causal pie model.This conceptual model was introduced by Ken Rothman to communicate how constellations of component causes can lead to a sufficient cause to lead to a condition of interest and that reflection on these sets could improve epidemiological study design.[1][2] A set of proposed causal mechanisms are represented as pie charts where each pie in the diagram represent a theoretical causal mechanism for a given disease, which is also called a sufficient cause.[3] Each pie is made up of many component factors, otherwise known as component causes represented by sectors in the diagram. In this framework, each component cause represents an event or condition required for a given disease or outcome. A component cause that appears in every pie is called a necessary cause as the outcome cannot occur without it.[4][5]
References
- ↑ Rothman KJ (1976). "Causes.". Am J Epidemiol 104 (6): 587–92. doi:10.1093/oxfordjournals.aje.a112335. PMID 998606. https://pubmed.ncbi.nlm.nih.gov/998606.
- ↑ Rothman, Kenneth J.; Lash, Timothy L.; VanderWeele, Tyler J.; Haneuse, Sebastien (2021) (in es). Modern epidemiology. Philadelphia. ISBN 978-1-9751-6628-1. OCLC 1236198056.
- ↑ Rothman, Kenneth J. (2012). Epidemiology : an introduction (2nd ed.). New York, NY: Oxford University Press. pp. 24. ISBN 978-0-19-975455-7. OCLC 750986180. https://www.worldcat.org/oclc/750986180.
- ↑ Rothman, Kenneth J.; Greenland, Sander (2005). "Causation and Causal Inference in Epidemiology" (in en). American Journal of Public Health 95 (S1): S144–S150. doi:10.2105/AJPH.2004.059204. ISSN 0090-0036. PMID 16030331. http://ajph.aphapublications.org/doi/10.2105/AJPH.2004.059204.
- ↑ Johnson CY, Howards PP (2013). "Causal pie bingo!". Epidemiology 24 (2): 331. doi:10.1097/EDE.0b013e318281e1cf. PMID 23377092.
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