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Article ; Online: RIPOSTE: a framework for improving the design and analysis of laboratory-based research.

Masca, Nicholas Gd / Hensor, Elizabeth Ma / Cornelius, Victoria R / Buffa, Francesca M / Marriott, Helen M / Eales, James M / Messenger, Michael P / Anderson, Amy E / Boot, Chris / Bunce, Catey / Goldin, Robert D / Harris, Jessica / Hinchliffe, Rod F / Junaid, Hiba / Kingston, Shaun / Martin-Ruiz, Carmen / Nelson, Christopher P / Peacock, Janet / Seed, Paul T /
Shinkins, Bethany / Staples, Karl J / Toombs, Jamie / Wright, Adam Ka / Teare, M Dawn

eLife

2015  Volume 4

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 ... ...

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.
MeSH term(s) Biomedical Research/methods ; Biomedical Research/trends ; Data Interpretation, Statistical ; Reproducibility of Results ; Research Design/standards
Language English
Publishing date 2015-05-07
Publishing country England
Document type Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID 2687154-3
ISSN 2050-084X ; 2050-084X
ISSN (online) 2050-084X
ISSN 2050-084X
DOI 10.7554/eLife.05519
Database MEDical Literature Analysis and Retrieval System OnLINE

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