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RIPOSTE: A framework for improving the design and analysis of laboratory-based research

Research output: Contribution to journalArticle

Nicholas G D Masca, Elizabeth M A Hensor, Victoria Cornelius, Francesca M. Buffa, Helen M. Marriott, James M. Eales, Michael P. Messenger, Amy E. Anderson, Chris Boot, Catey Bunce, Robert D. Goldin, Jessica Harris, Rod F. Hinchliffe, Hiba Junaid, Shaun Kingston, Carmen Martin-Ruiz, Christopher P. Nelson, Janet Peacock, Paul T Seed, Bethany Shinkins & 4 more Karl J. Staples, Jamie Toombs, Adam K A Wright, M. Dawn Teare

Original languageEnglish
Pages (from-to)1-27
Number of pages27
Publication statusPublished - 7 May 2015

King's Authors


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, 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.

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