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    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/s00204-015-1608-4

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Boxplots for grouped and clustered data in toxicology

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Boxplots for grouped and clustered data in toxicology. / Pallmann, Philip; Hothorn, Ludwig A.
In: Archives of Toxicology, Vol. 90, No. 7, 07.2016, p. 1631-1638.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Pallmann, P & Hothorn, LA 2016, 'Boxplots for grouped and clustered data in toxicology', Archives of Toxicology, vol. 90, no. 7, pp. 1631-1638. https://doi.org/10.1007/s00204-015-1608-4

APA

Pallmann, P., & Hothorn, L. A. (2016). Boxplots for grouped and clustered data in toxicology. Archives of Toxicology, 90(7), 1631-1638. https://doi.org/10.1007/s00204-015-1608-4

Vancouver

Pallmann P, Hothorn LA. Boxplots for grouped and clustered data in toxicology. Archives of Toxicology. 2016 Jul;90(7):1631-1638. Epub 2015 Oct 5. doi: 10.1007/s00204-015-1608-4

Author

Pallmann, Philip ; Hothorn, Ludwig A. / Boxplots for grouped and clustered data in toxicology. In: Archives of Toxicology. 2016 ; Vol. 90, No. 7. pp. 1631-1638.

Bibtex

@article{40df7721d72d4ec293e270db9f396af8,
title = "Boxplots for grouped and clustered data in toxicology",
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.",
keywords = "Graphics, Statistics, R software, Body weight, Micronucleus assay",
author = "Philip Pallmann and Hothorn, {Ludwig A.}",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s00204-015-1608-4",
year = "2016",
month = jul,
doi = "10.1007/s00204-015-1608-4",
language = "English",
volume = "90",
pages = "1631--1638",
journal = "Archives of Toxicology",
issn = "0340-5761",
publisher = "Springer Verlag",
number = "7",

}

RIS

TY - JOUR

T1 - Boxplots for grouped and clustered data in toxicology

AU - Pallmann, Philip

AU - Hothorn, Ludwig A.

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s00204-015-1608-4

PY - 2016/7

Y1 - 2016/7

N2 - 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.

AB - 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.

KW - Graphics

KW - Statistics

KW - R software

KW - Body weight

KW - Micronucleus assay

U2 - 10.1007/s00204-015-1608-4

DO - 10.1007/s00204-015-1608-4

M3 - Journal article

VL - 90

SP - 1631

EP - 1638

JO - Archives of Toxicology

JF - Archives of Toxicology

SN - 0340-5761

IS - 7

ER -