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RIPOSTE: a framework for improving the design and analysis of laboratory-based research
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 IrreP...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4461852/ https://www.ncbi.nlm.nih.gov/pubmed/25951517 http://dx.doi.org/10.7554/eLife.05519 |
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author | 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 |
author_facet | 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 |
author_sort | Masca, Nicholas GD |
collection | PubMed |
description | 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. DOI: http://dx.doi.org/10.7554/eLife.05519.001 |
format | Online Article Text |
id | pubmed-4461852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-44618522015-06-10 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 Human Biology and Medicine 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. DOI: http://dx.doi.org/10.7554/eLife.05519.001 eLife Sciences Publications, Ltd 2015-05-07 /pmc/articles/PMC4461852/ /pubmed/25951517 http://dx.doi.org/10.7554/eLife.05519 Text en © 2015, Masca et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Human Biology and Medicine 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 RIPOSTE: a framework for improving the design and analysis of laboratory-based research |
title | RIPOSTE: a framework for improving the design and analysis of laboratory-based research |
title_full | RIPOSTE: a framework for improving the design and analysis of laboratory-based research |
title_fullStr | RIPOSTE: a framework for improving the design and analysis of laboratory-based research |
title_full_unstemmed | RIPOSTE: a framework for improving the design and analysis of laboratory-based research |
title_short | RIPOSTE: a framework for improving the design and analysis of laboratory-based research |
title_sort | riposte: a framework for improving the design and analysis of laboratory-based research |
topic | Human Biology and Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4461852/ https://www.ncbi.nlm.nih.gov/pubmed/25951517 http://dx.doi.org/10.7554/eLife.05519 |
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