z-logo
Premium
Exposure‐wide epidemiology: revisiting Bradford Hill
Author(s) -
Ioannidis John P. A.
Publication year - 2015
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.6825
Subject(s) - causation , operationalization , observational study , causality (physics) , temporality , consistency (knowledge bases) , coherence (philosophical gambling strategy) , analogy , computer science , epistemology , psychology , data science , medicine , statistics , artificial intelligence , philosophy , mathematics , pathology , physics , quantum mechanics
Fifty years after Bradford Hill published his extremely influential criteria to offer some guides for separating causation from association, we have accumulated millions of papers and extensive data on observational research that depends on epidemiologic methods and principles. This allows us to re‐examine the accumulated empirical evidence for the nine criteria, and to re‐approach epidemiology through the lens of exposure‐wide approaches. The lecture discusses the evolution of these exposure‐wide approaches and tries to use the evidence from meta‐epidemiologic assessments to reassess each of the nine criteria and whether they work well as guides for causation. I argue that of the nine criteria, experiment remains important and consistency (replication) is also very essential. Temporality also makes sense, but it is often difficult to document. Of the other six criteria, strength mostly does not work and may even have to be inversed: small and even tiny effects are more plausible than large effects; when large effects are seen, they are mostly transient and almost always represent biases and errors. There is little evidence for specificity in causation in nature. Biological gradient is often unclear how it should it modeled and thus difficult to prove. Coherence remains usually unclear how to operationalize. Finally, plausibility as well as analogy do not work well in most fields of investigation, and their invocation has been mostly detrimental, although exceptions may exist. Copyright © 2015 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here