“Cake causes herpes?” - promiscuous dichotomisation induces false positives

It is likely that manipulating cut-off points in measured variables represents a significant source of data manipulation in published science, and the ease of access of larger health databases means this is an issue that is likely to grow in severity. We discuss implications of this, and means of identifying potential promiscuous dichotomisation.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-11-13
DOI
https://doi.org/10.1186/s12874-025-02712-0
Citations
2
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
2.71
Controls
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article

“Cake causes herpes?” - promiscuous dichotomisation induces false positives

David Robert Grimes, James A. J. Heathers
2 citations
BMC Medical Research Methodology
Data-Driven Disease Surveillance
2.71
article

“Cake causes herpes?” - promiscuous dichotomisation induces false positives

David Robert Grimes, James A. J. Heathers
article en
2 citations

Abstract

It is likely that manipulating cut-off points in measured variables represents a significant source of data manipulation in published science, and the ease of access of larger health databases means this is an issue that is likely to grow in severity. We discuss implications of this, and means of identifying potential promiscuous dichotomisation.

BMC Medical Research MethodologyVol. 25(1)
Trinity College Dublin (IE), Linnaeus University (SE), World Water Watch (US), Integrity Systems (United States) (US)
Openalex Percentile: Top 8%
Data-Driven Disease Surveillance
2.71
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