Boxplots for grouped and clustered data in toxicology

Pallmann, Philip and Hothorn, Ludwig A. (2016) Boxplots for grouped and clustered data in toxicology. Archives of Toxicology, 90 (7). pp. 1631-1638. ISSN 0340-5761

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Abstract

The vast majority of toxicological papers summarize experimental data as bar charts of means with error bars. While these graphics are easy to generate, they often obscure essential features of the data, such as outliers or subgroups of individuals reacting differently to a treatment. In particular, raw values are of prime importance in toxicology; therefore, we argue they should not be hidden in messy supplementary tables but rather unveiled in neat graphics in the results section. We propose jittered boxplots as a very compact yet comprehensive and intuitively accessible way of visualizing grouped and clustered data from toxicological studies together with individual raw values and indications of statistical significance. A web application to create these plots is available online.

Item Type:
Journal Article
Journal or Publication Title:
Archives of Toxicology
Additional Information:
The final publication is available at Springer via http://dx.doi.org/10.1007/s00204-015-1608-4
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3000/3005
Subjects:
ID Code:
75786
Deposited By:
Deposited On:
21 Oct 2015 04:58
Refereed?:
Yes
Published?:
Published
Last Modified:
12 Jul 2020 05:13