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The Experimental Design Assistant

Name: The Experimental Design Assistant
Keywords: Life Sciences & Biomedicine - Other Topics, Biochemistry & Molecular Biology, Biomedical Research, QH301-705.5, Neuroscience(all), POWER, 610, Guidelines as Topic, Feedback, /dk/atira/pure/subjectarea/asjc/1300

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 28 Sep 2017 United Kingdom Publisher:Public Library of Science (PLoS)Journal:PLOS Biology, volume 15, page e2003779 (eissn: 1545-7885,

Authors: Lawrence D. F. Moon; S. Clare Stanford; Natasha A. Karp; Natasha A. Karp; Nathalie Percie du Sert; Brian Lings; Malcolm R. Macleod; +6 Authors

doi: 10.1371/journal.pbio.2003779 , 10.1038/nmeth.4462

pmid: 28957312 , 28960183

pmc: PMC5634641 , PMC7610684

handle: 1983/ca27cf2f-9349-4453-b2ea-e78b14d5bafd , 1983/b9842512-7417-4f07-9b2a-c4494e16a2fb , 20.500.11820/724e947e-e667-4d1c-bf68-edbccf68228e

The Experimental Design Assistant

- Summary
- Subjects
- Metrics

Abstract

Addressing the common problems that researchers encounter when designing and analysing animal experiments will improve the reliability of in vivo research. In this article, the Experimental Design Assistant (EDA) is introduced. The EDA is a web-based tool that guides the in vivo researcher through the experimental design and analysis process, providing automated feedback on the proposed design and generating a graphical summary that aids communication with colleagues, funders, regulatory authorities, and the wider scientific community. It will have an important role in addressing causes of irreproducibility.

Country

United Kingdom

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Keywords

Life Sciences & Biomedicine - Other Topics, Biochemistry & Molecular Biology, Biomedical Research, QH301-705.5, Neuroscience(all), POWER, 610, Guidelines as Topic, Feedback, /dk/atira/pure/subjectarea/asjc/1300, REPRODUCIBILITY, Immunology and Microbiology(all), Community Page, /dk/atira/pure/subjectarea/asjc/1100, Journal Article, Biology (General), Biology, Internet, Science & Technology, Agricultural and Biological Sciences(all), Biochemistry, Genetics and Molecular Biology(all), 620, /dk/atira/pure/subjectarea/asjc/2400, NEUROSCIENCE, Research Design, Models, Animal, /dk/atira/pure/subjectarea/asjc/2800, Life Sciences & Biomedicine, Software

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	121
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%