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Choice of y-axis can mislead readers
Betül R Erdogan1, Jan Vollert2, Martin C Michel3
1Department of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, Turkey.
Abstract:
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 variables will be shown as absolute or relative/normalized changes, and to typically start y-axis at 0 for ratio variables.
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