Boxplots for grouped and clustered data in toxicology

Pallmann, Philip ORCID: https://orcid.org/0000-0001-8274-9696 and Hothorn, Ludwig A. 2016. Boxplots for grouped and clustered data in toxicology. Archives of Toxicology 90 (7) , pp. 1631-1638. 10.1007/s00204-015-1608-4

Full text not available from this repository.

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:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Publisher:	Springer Verlag (Germany)
ISSN:	0340-5761
Date of Acceptance:	23 September 2015
Last Modified:	03 Nov 2022 09:41
URI:	https://orca.cardiff.ac.uk/id/eprint/105706

Citation Data

Cited 16 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item