Masca, N.G., Hensor, E.M., Cornelius, V.R. et al. (21 more authors) (2015) RIPOSTE: a framework for improving the design and analysis of laboratory-based research. eLife, 4. e05519. ISSN 2050-084X
Abstract
Lack of reproducibility is an ongoing problem in some areas of the biomedical sciences. Poor experimental design and a failure to engage with experienced statisticians at key stages in the design and analysis of experiments are two factors that contribute to this problem. The RIPOSTE (Reducing IrreProducibility in labOratory STudiEs) framework has been developed to support early and regular discussions between scientists and statisticians in order to improve the design, conduct and analysis of laboratory studies and, therefore, to reduce irreproducibility. This framework is intended for use during the early stages of a research project, when specific questions or hypotheses are proposed. The essential points within the framework are explained and illustrated using three examples (a medical equipment test, a macrophage study and a gene expression study). Sound study design minimises the possibility of bias being introduced into experiments and leads to higher quality research with more reproducible results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015. The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | experimental design; human biology; interdisciplinary research; medicine; none; reproducibility; science forum; statistical design |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Aug 2015 10:22 |
Last Modified: | 20 Aug 2015 10:22 |
Published Version: | http://dx.doi.org/10.7554/eLife.05519 |
Status: | Published |
Publisher: | eLife Sciences Publications |
Refereed: | Yes |
Identification Number: | 10.7554/eLife.05519 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88743 |