A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration
Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have expert knowledge of statistics or may be unconvinced about the importance of applying correct statist...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BMJ Publishing Group
2021
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| _version_ | 1797061915062566912 |
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| author | Mansournia, MA Collins, GS Nielsen, RO Nazemipour, M Jewell, NP Altman, DG Campbell, MJ |
| author_facet | Mansournia, MA Collins, GS Nielsen, RO Nazemipour, M Jewell, NP Altman, DG Campbell, MJ |
| author_sort | Mansournia, MA |
| collection | OXFORD |
| description | Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have expert knowledge of statistics or may be unconvinced about the importance of applying correct statistics in medical research. Although there are guidelines on reporting statistics in medical papers, a checklist on the more general and commonly seen aspects of statistics to assess when peer-reviewing an article is needed. In this article, we propose a CHecklist for statistical Assessment of Medical Papers (CHAMP) comprising 30 items related to the design and conduct, data analysis, reporting and presentation, and interpretation of a research paper. While CHAMP is primarily aimed at editors and peer reviewers during the statistical assessment of a medical paper, we believe it will serve as a useful reference to improve authors' and readers' practice in their use of statistics in medical research. We strongly encourage editors and peer reviewers to consult CHAMP when assessing manuscripts for potential publication. Authors also may apply CHAMP to ensure the validity of their statistical approach and reporting of medical research, and readers may consider using CHAMP to enhance their statistical assessment of a paper. |
| first_indexed | 2024-03-06T20:38:00Z |
| format | Journal article |
| id | oxford-uuid:3346b86d-ac60-43b5-afad-fbb67994231c |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:38:00Z |
| publishDate | 2021 |
| publisher | BMJ Publishing Group |
| record_format | dspace |
| spelling | oxford-uuid:3346b86d-ac60-43b5-afad-fbb67994231c2022-03-26T13:19:24ZA CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaborationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3346b86d-ac60-43b5-afad-fbb67994231cEnglishSymplectic ElementsBMJ Publishing Group2021Mansournia, MACollins, GSNielsen, RONazemipour, MJewell, NPAltman, DGCampbell, MJMisuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have expert knowledge of statistics or may be unconvinced about the importance of applying correct statistics in medical research. Although there are guidelines on reporting statistics in medical papers, a checklist on the more general and commonly seen aspects of statistics to assess when peer-reviewing an article is needed. In this article, we propose a CHecklist for statistical Assessment of Medical Papers (CHAMP) comprising 30 items related to the design and conduct, data analysis, reporting and presentation, and interpretation of a research paper. While CHAMP is primarily aimed at editors and peer reviewers during the statistical assessment of a medical paper, we believe it will serve as a useful reference to improve authors' and readers' practice in their use of statistics in medical research. We strongly encourage editors and peer reviewers to consult CHAMP when assessing manuscripts for potential publication. Authors also may apply CHAMP to ensure the validity of their statistical approach and reporting of medical research, and readers may consider using CHAMP to enhance their statistical assessment of a paper. |
| spellingShingle | Mansournia, MA Collins, GS Nielsen, RO Nazemipour, M Jewell, NP Altman, DG Campbell, MJ A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration |
| title | A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration |
| title_full | A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration |
| title_fullStr | A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration |
| title_full_unstemmed | A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration |
| title_short | A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration |
| title_sort | checklist for statistical assessment of medical papers the champ statement explanation and elaboration |
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