NDLI: Boxplots for grouped and clustered data in toxicology

Content Provider	Springer Nature Link
Author	Pallmann, Philip Hothorn, Ludwig A.
Copyright Year	2015
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.
Starting Page	1631
Ending Page	1638
Page Count	8
File Format	PDF
ISSN	03405761
Journal	Archives of Toxicology
Volume Number	90
Issue Number	7
e-ISSN	14320738
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-10-05
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Graphics Statistics R software Body weight Micronucleus assay Pharmacology/Toxicology Occupational Medicine/Industrial Medicine Environmental Health Biomedicine general
Content Type	Text
Resource Type	Article
Subject	Health, Toxicology and Mutagenesis Medicine Toxicology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Boxplots for grouped and clustered data in toxicology