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Publication Bias in Methodological Computational Research

The problem of publication bias has long been discussed in research fields such as medicine. There is a consensus that publication bias is a reality and that solutions should be found to reduce it. In methodological computational research, including cancer informatics, publication bias may also be a...

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Detalles Bibliográficos
Autores principales: Boulesteix, Anne-Laure, Stierle, Veronika, Hapfelmeier, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608556/
https://www.ncbi.nlm.nih.gov/pubmed/26508827
http://dx.doi.org/10.4137/CIN.S30747
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author Boulesteix, Anne-Laure
Stierle, Veronika
Hapfelmeier, Alexander
author_facet Boulesteix, Anne-Laure
Stierle, Veronika
Hapfelmeier, Alexander
author_sort Boulesteix, Anne-Laure
collection PubMed
description The problem of publication bias has long been discussed in research fields such as medicine. There is a consensus that publication bias is a reality and that solutions should be found to reduce it. In methodological computational research, including cancer informatics, publication bias may also be at work. The publication of negative research findings is certainly also a relevant issue, but has attracted very little attention to date. The present paper aims at providing a new formal framework to describe the notion of publication bias in the context of methodological computational research, facilitate and stimulate discussions on this topic, and increase awareness in the scientific community. We report an exemplary pilot study that aims at gaining experiences with the collection and analysis of information on unpublished research efforts with respect to publication bias, and we outline the encountered problems. Based on these experiences, we try to formalize the notion of publication bias.
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spelling pubmed-46085562015-10-27 Publication Bias in Methodological Computational Research Boulesteix, Anne-Laure Stierle, Veronika Hapfelmeier, Alexander Cancer Inform Methodology The problem of publication bias has long been discussed in research fields such as medicine. There is a consensus that publication bias is a reality and that solutions should be found to reduce it. In methodological computational research, including cancer informatics, publication bias may also be at work. The publication of negative research findings is certainly also a relevant issue, but has attracted very little attention to date. The present paper aims at providing a new formal framework to describe the notion of publication bias in the context of methodological computational research, facilitate and stimulate discussions on this topic, and increase awareness in the scientific community. We report an exemplary pilot study that aims at gaining experiences with the collection and analysis of information on unpublished research efforts with respect to publication bias, and we outline the encountered problems. Based on these experiences, we try to formalize the notion of publication bias. Libertas Academica 2015-10-15 /pmc/articles/PMC4608556/ /pubmed/26508827 http://dx.doi.org/10.4137/CIN.S30747 Text en © 2015 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Methodology
Boulesteix, Anne-Laure
Stierle, Veronika
Hapfelmeier, Alexander
Publication Bias in Methodological Computational Research
title Publication Bias in Methodological Computational Research
title_full Publication Bias in Methodological Computational Research
title_fullStr Publication Bias in Methodological Computational Research
title_full_unstemmed Publication Bias in Methodological Computational Research
title_short Publication Bias in Methodological Computational Research
title_sort publication bias in methodological computational research
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608556/
https://www.ncbi.nlm.nih.gov/pubmed/26508827
http://dx.doi.org/10.4137/CIN.S30747
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