The new normal? Redaction bias in biomedical science
A concerning amount of biomedical research is not reproducible. Unreliable results impede empirical progress in medical science, ultimately putting patients at risk. Many proximal causes of this irreproducibility have been identified, a major one being inappropriate statistical methods and analytica...
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The Royal Society
2021
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oai:doaj.org-article:63eed035398243f2bf1ef5acb8ce30732021-12-01T08:05:33ZThe new normal? Redaction bias in biomedical science10.1098/rsos.2113082054-5703https://doaj.org/article/63eed035398243f2bf1ef5acb8ce30732021-12-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsos.211308https://doaj.org/toc/2054-5703A concerning amount of biomedical research is not reproducible. Unreliable results impede empirical progress in medical science, ultimately putting patients at risk. Many proximal causes of this irreproducibility have been identified, a major one being inappropriate statistical methods and analytical choices by investigators. Within this, we formally quantify the impact of inappropriate redaction beyond a threshold value in biomedical science. This is effectively truncation of a dataset by removing extreme data points, and we elucidate its potential to accidentally or deliberately engineer a spurious result in significance testing. We demonstrate that the removal of a surprisingly small number of data points can be used to dramatically alter a result. It is unknown how often redaction bias occurs in the broader literature, but given the risk of distortion to the literature involved, we suggest that it must be studiously avoided, and mitigated with approaches to counteract any potential malign effects to the research quality of medical science.David Robert GrimesJames HeathersThe Royal Societyarticleredactionbiasbiomedicalreplicationstatisticshypothesis testingScienceQENRoyal Society Open Science, Vol 8, Iss 12 (2021) |
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redaction bias biomedical replication statistics hypothesis testing Science Q David Robert Grimes James Heathers The new normal? Redaction bias in biomedical science |
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A concerning amount of biomedical research is not reproducible. Unreliable results impede empirical progress in medical science, ultimately putting patients at risk. Many proximal causes of this irreproducibility have been identified, a major one being inappropriate statistical methods and analytical choices by investigators. Within this, we formally quantify the impact of inappropriate redaction beyond a threshold value in biomedical science. This is effectively truncation of a dataset by removing extreme data points, and we elucidate its potential to accidentally or deliberately engineer a spurious result in significance testing. We demonstrate that the removal of a surprisingly small number of data points can be used to dramatically alter a result. It is unknown how often redaction bias occurs in the broader literature, but given the risk of distortion to the literature involved, we suggest that it must be studiously avoided, and mitigated with approaches to counteract any potential malign effects to the research quality of medical science. |
format |
article |
author |
David Robert Grimes James Heathers |
author_facet |
David Robert Grimes James Heathers |
author_sort |
David Robert Grimes |
title |
The new normal? Redaction bias in biomedical science |
title_short |
The new normal? Redaction bias in biomedical science |
title_full |
The new normal? Redaction bias in biomedical science |
title_fullStr |
The new normal? Redaction bias in biomedical science |
title_full_unstemmed |
The new normal? Redaction bias in biomedical science |
title_sort |
new normal? redaction bias in biomedical science |
publisher |
The Royal Society |
publishDate |
2021 |
url |
https://doaj.org/article/63eed035398243f2bf1ef5acb8ce3073 |
work_keys_str_mv |
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