Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753 |
Resumo: | Statistics is a key tool to validate the conclusions of scientific papers. However, errors in using this method, including the use of low power tests and inadequate analysis of the studies are still frequent. This research identified, through a census of 307 articles published between 2000 and 2010 in the Journal Archives of Veterinary Science, that 34% of the papers had made conclusions without statistical support, 34% were supported by statistical methods inadequate to the evaluated database, whereas only 32% have presented conclusions based on statistical methods consistent with the structure of the analyzed data. Furthermore, the percentage of inadequate conclusions may be even higher, of up to 47%, since some of the articles that had not used statistical analysis should have applied some method for the validation of their conclusions. The results presented herein warn against the misuse of statistical methods that compromise the quality and reliability of the conclusions presented in most papers. |
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Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753assumptionsexperimental designstatistical analysisEstatísticaStatistics is a key tool to validate the conclusions of scientific papers. However, errors in using this method, including the use of low power tests and inadequate analysis of the studies are still frequent. This research identified, through a census of 307 articles published between 2000 and 2010 in the Journal Archives of Veterinary Science, that 34% of the papers had made conclusions without statistical support, 34% were supported by statistical methods inadequate to the evaluated database, whereas only 32% have presented conclusions based on statistical methods consistent with the structure of the analyzed data. Furthermore, the percentage of inadequate conclusions may be even higher, of up to 47%, since some of the articles that had not used statistical analysis should have applied some method for the validation of their conclusions. The results presented herein warn against the misuse of statistical methods that compromise the quality and reliability of the conclusions presented in most papers. Universidade Estadual De Maringá2012-08-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioncenso; análise descritivaapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1375310.4025/actascitechnol.v35i1.13753Acta Scientiarum. Technology; Vol 35 No 1 (2013); 97-102Acta Scientiarum. Technology; v. 35 n. 1 (2013); 97-1021806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753/pdf_1Montanhini Neto, RobertoOstrensky, Antonioinfo:eu-repo/semantics/openAccess2024-05-17T13:03:25Zoai:periodicos.uem.br/ojs:article/13753Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2024-05-17T13:03:25Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
title |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
spellingShingle |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 Montanhini Neto, Roberto assumptions experimental design statistical analysis Estatística |
title_short |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
title_full |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
title_fullStr |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
title_full_unstemmed |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
title_sort |
Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010 - doi: 10.4025/actascitechnol.v35i1.13753 |
author |
Montanhini Neto, Roberto |
author_facet |
Montanhini Neto, Roberto Ostrensky, Antonio |
author_role |
author |
author2 |
Ostrensky, Antonio |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Montanhini Neto, Roberto Ostrensky, Antonio |
dc.subject.por.fl_str_mv |
assumptions experimental design statistical analysis Estatística |
topic |
assumptions experimental design statistical analysis Estatística |
description |
Statistics is a key tool to validate the conclusions of scientific papers. However, errors in using this method, including the use of low power tests and inadequate analysis of the studies are still frequent. This research identified, through a census of 307 articles published between 2000 and 2010 in the Journal Archives of Veterinary Science, that 34% of the papers had made conclusions without statistical support, 34% were supported by statistical methods inadequate to the evaluated database, whereas only 32% have presented conclusions based on statistical methods consistent with the structure of the analyzed data. Furthermore, the percentage of inadequate conclusions may be even higher, of up to 47%, since some of the articles that had not used statistical analysis should have applied some method for the validation of their conclusions. The results presented herein warn against the misuse of statistical methods that compromise the quality and reliability of the conclusions presented in most papers. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-08-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion censo; análise descritiva |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753 10.4025/actascitechnol.v35i1.13753 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753 |
identifier_str_mv |
10.4025/actascitechnol.v35i1.13753 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753/pdf http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/13753/pdf_1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 35 No 1 (2013); 97-102 Acta Scientiarum. Technology; v. 35 n. 1 (2013); 97-102 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315334379864064 |