A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration.
A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration.
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医学论文统计评估的检查表(CHAMP声明):解释和阐述。
DOI:
10.1136/bjsports-2020-103652
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发表时间:
2021-09
影响因子:
18.4
通讯作者:
Campbell, Michael J.
中科院分区:
文献类型:
--
作者:
Mansournia, Mohammad Ali;Collins, Gary S.;Nielsen, Rasmus Oestergaard;Nazemipour, Maryam;Jewell, Nicholas P.;Altman, Douglas G.;Campbell, Michael J.
Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences on health care. 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, conduct, data analysis, reporting and presentation, and interpretation of a research paper. Whilst 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.
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影响因子:
105.7
作者:
Altman, DG;Bland, JM
通讯作者:
Bland, JM
影响因子:
7.2
作者:
Collins, Gary S.;Reitsma, Johannes B.;Moons, Karel G. M.
通讯作者:
Moons, Karel G. M.
影响因子:
105.7
作者:
Altman, Douglas G.;Bland, J. Martin
通讯作者:
Bland, J. Martin
影响因子:
--
作者:
Bacchetti, P
通讯作者:
Bacchetti, P
影响因子:
39.2
作者:
Bossuyt, PM;Reitsma, JB;de Vet, HCW
通讯作者:
de Vet, HCW