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Title: | Examination of published articles with respect to statistical errors in veterinary sciences |
Authors: | Mankir, Seray Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı. Uludağ Üniversitesi/Veteriner Fakültesi/Biyoistatistik Anabilim Dalı. Uludağ Üniversitesi/Sağlık Bilimleri Enstitüsü/Biyoistatistik Anabilim Dalı. 0000-0001-8052-0484 0000-0002-9634-0055 0000-0002-1953-7735 0000-0002-2382-290X Ercan, İlker Kaya, Mehmet Onur Uzabacı, Ender Can, Fatma Ezgi Bashir, Albishir Musa ABF-2367-2020 V-9415-2018 6603789069 56689249200 55347697800 56689608500 57193810863 |
Keywords: | Veterinary sciences Biostatistics Review of article Statistical error Veterinary science Manuscripts |
Issue Date: | 7-Dec-2016 |
Publisher: | Sciendo |
Citation: | Ercan, İ. vd. (2017). ''Examination of published articles with respect to statistical errors in veterinary sciences''. Acta Veterinaria, 67(1), 33-42. |
Abstract: | The aim of this present work was to examine statistical errors in published veterinary science articles. A total of 204 published articles (SCI or SCI-Exp) were used in this study. The articles were chosen from among those indexed in PubMed database between the years 2010 and 2014, inclusive. A total of 199 articles had at least one statistical error. The most frequently encountered statistical error among the articles published in journals indexed in SCI and in SCI-E was "errors in summarizing data". No statistical error was found in 2.45% (n=5) of 204 (SCI: 0.98% (1/102), SCI-E: 3.92% (4/102)) articles. To reduce and prevent statistical errors in publications, the researchers must have a basic knowledge of statistics and during the study process they must consult field experts. While reviewing, the reviewers have to redirect the publications to statistical editors when needed and most importantly during the process of editing, the editors have to direct the publications to a statistics reviewer. |
URI: | https://doi.org/10.1515/acve-2017-0004 https://sciendo.com/article/10.1515/acve-2017-0004 1820-7448 http://hdl.handle.net/11452/30531 |
ISSN: | 0567-8315 |
Appears in Collections: | Scopus Web of Science |
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