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BMJ
Article
Data sources: UnpayWall
BMJ
Article . 2011 . Peer-reviewed
Data sources: Crossref
BMJ
Article . 2011
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What are natural frequencies?

Authors: Gerd, Gigerenzer;

What are natural frequencies?

Abstract

Doctors need to find better ways to communicate risk to patients A 2011 Cochrane Review concluded that health professionals and consumers “understood natural frequencies better than probabilities.”1 A 2011 Annals of Internal Medicine article reported the opposite, that “natural frequencies are not the best format for communicating the absolute benefits and harms of treatment”2 How should physicians deal with these contradictory messages? As is often the case, the contradiction lies in the definitions, not in the data. Ulrich Hoffrage and I introduced the term “natural frequencies” in the late 1990s and conducted the first studies showing that they foster understanding of the positive predictive value among lay people, doctors, and medical students.3 4 5 6 What is a natural frequency? It is a joint frequency of two events, such as the number of patients with disease and who have a positive test result, and is an alternative to presenting the same information in conditional probabilities, such as sensitivities and specificities. Conditional probabilities tend to cloud the minds of many people, including health professionals, as the following problem illustrates (for convenience, probabilities are expressed in percentages). Assume you use mammography in a certain region …

Keywords

Predictive Value of Tests, Data Interpretation, Statistical, Humans, Bayes Theorem, Breast Neoplasms, Female, Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Top 10%
bronze