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Choice of y-axis can mislead readers
Using two examples from the non-scientific literature, we show how choice of unit of measure and scaling of y-axis can caused a biased perception of data, a phenomenon we propose to call perception bias. We recommend to pre-specify unit of measure or how it will be determined, whether outcome variab...
Main Authors: | , , |
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Format: | Online Article Text |
Language: | English |
Published: |
Springer Berlin Heidelberg
2020
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Subjects: | |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419489/ https://www.ncbi.nlm.nih.gov/pubmed/32588070 http://dx.doi.org/10.1007/s00210-020-01926-x |