Common statistical and research design problems in manuscripts submitted to high-impact medical journals.
Identifieur interne : 001595 ( Main/Exploration ); précédent : 001594; suivant : 001596Common statistical and research design problems in manuscripts submitted to high-impact medical journals.
Auteurs : Sara Fernandes-Taylor [États-Unis] ; Jenny K. Hyun ; Rachelle N. Reeder ; Alex Hs HarrisSource :
- BMC research notes [ 1756-0500 ] ; 2011.
Abstract
BACKGROUND
To assist educators and researchers in improving the quality of medical research, we surveyed the editors and statistical reviewers of high-impact medical journals to ascertain the most frequent and critical statistical errors in submitted manuscripts.
FINDINGS
The Editors-in-Chief and statistical reviewers of the 38 medical journals with the highest impact factor in the 2007 Science Journal Citation Report and the 2007 Social Science Journal Citation Report were invited to complete an online survey about the statistical and design problems they most frequently found in manuscripts. Content analysis of the responses identified major issues. Editors and statistical reviewers (n = 25) from 20 journals responded. Respondents described problems that we classified into two, broad themes: A. statistical and sampling issues and B. inadequate reporting clarity or completeness. Problems included in the first theme were (1) inappropriate or incomplete analysis, including violations of model assumptions and analysis errors, (2) uninformed use of propensity scores, (3) failing to account for clustering in data analysis, (4) improperly addressing missing data, and (5) power/sample size concerns. Issues subsumed under the second theme were (1) Inadequate description of the methods and analysis and (2) Misstatement of results, including undue emphasis on p-values and incorrect inferences and interpretations.
CONCLUSIONS
The scientific quality of submitted manuscripts would increase if researchers addressed these common design, analytical, and reporting issues. Improving the application and presentation of quantitative methods in scholarly manuscripts is essential to advancing medical research.
DOI: 10.1186/1756-0500-4-304
PubMed: 21854631
PubMed Central: PMC3224575
Affiliations:
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Hyun</name></author><author><name sortKey="Reeder, Rachelle N" sort="Reeder, Rachelle N" uniqKey="Reeder R" first="Rachelle N" last="Reeder">Rachelle N. Reeder</name></author><author><name sortKey="Harris, Alex Hs" sort="Harris, Alex Hs" uniqKey="Harris A" first="Alex Hs" last="Harris">Alex Hs Harris</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="RBID">pubmed:21854631</idno><idno type="pmid">21854631</idno><idno type="doi">10.1186/1756-0500-4-304</idno><idno type="pmc">PMC3224575</idno><idno type="wicri:Area/Main/Corpus">001525</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001525</idno><idno type="wicri:Area/Main/Curation">001525</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001525</idno><idno type="wicri:Area/Main/Exploration">001525</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Common statistical and research design problems in manuscripts submitted to high-impact medical journals.</title><author><name sortKey="Fernandes Taylor, Sara" sort="Fernandes Taylor, Sara" uniqKey="Fernandes Taylor S" first="Sara" last="Fernandes-Taylor">Sara Fernandes-Taylor</name><affiliation wicri:level="2"><nlm:affiliation>Center for Health Care Evaluation, VA Palo Alto Health Care System and Stanford University School of Medicine, 795 Willow Road (MPD-152), Menlo Park, CA 94025, USA. sarataylorrohe@gmail.com.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Health Care Evaluation, VA Palo Alto Health Care System and Stanford University School of Medicine, 795 Willow Road (MPD-152), Menlo Park, CA 94025</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Hyun, Jenny K" sort="Hyun, Jenny K" uniqKey="Hyun J" first="Jenny K" last="Hyun">Jenny K. Hyun</name></author><author><name sortKey="Reeder, Rachelle N" sort="Reeder, Rachelle N" uniqKey="Reeder R" first="Rachelle N" last="Reeder">Rachelle N. Reeder</name></author><author><name sortKey="Harris, Alex Hs" sort="Harris, Alex Hs" uniqKey="Harris A" first="Alex Hs" last="Harris">Alex Hs Harris</name></author></analytic><series><title level="j">BMC research notes</title><idno type="eISSN">1756-0500</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>To assist educators and researchers in improving the quality of medical research, we surveyed the editors and statistical reviewers of high-impact medical journals to ascertain the most frequent and critical statistical errors in submitted manuscripts.</p></div><div type="abstract" xml:lang="en"><p><b>FINDINGS</b></p><p>The Editors-in-Chief and statistical reviewers of the 38 medical journals with the highest impact factor in the 2007 Science Journal Citation Report and the 2007 Social Science Journal Citation Report were invited to complete an online survey about the statistical and design problems they most frequently found in manuscripts. Content analysis of the responses identified major issues. Editors and statistical reviewers (n = 25) from 20 journals responded. Respondents described problems that we classified into two, broad themes: A. statistical and sampling issues and B. inadequate reporting clarity or completeness. Problems included in the first theme were (1) inappropriate or incomplete analysis, including violations of model assumptions and analysis errors, (2) uninformed use of propensity scores, (3) failing to account for clustering in data analysis, (4) improperly addressing missing data, and (5) power/sample size concerns. Issues subsumed under the second theme were (1) Inadequate description of the methods and analysis and (2) Misstatement of results, including undue emphasis on p-values and incorrect inferences and interpretations.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The scientific quality of submitted manuscripts would increase if researchers addressed these common design, analytical, and reporting issues. Improving the application and presentation of quantitative methods in scholarly manuscripts is essential to advancing medical research.</p></div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">21854631</PMID><DateCompleted><Year>2011</Year><Month>11</Month><Day>10</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1756-0500</ISSN><JournalIssue CitedMedium="Internet"><Volume>4</Volume><PubDate><Year>2011</Year><Month>Aug</Month><Day>19</Day></PubDate></JournalIssue><Title>BMC research notes</Title><ISOAbbreviation>BMC Res Notes</ISOAbbreviation></Journal><ArticleTitle>Common statistical and research design problems in manuscripts submitted to high-impact medical journals.</ArticleTitle><Pagination><MedlinePgn>304</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1756-0500-4-304</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">To assist educators and researchers in improving the quality of medical research, we surveyed the editors and statistical reviewers of high-impact medical journals to ascertain the most frequent and critical statistical errors in submitted manuscripts.</AbstractText><AbstractText Label="FINDINGS" NlmCategory="RESULTS">The Editors-in-Chief and statistical reviewers of the 38 medical journals with the highest impact factor in the 2007 Science Journal Citation Report and the 2007 Social Science Journal Citation Report were invited to complete an online survey about the statistical and design problems they most frequently found in manuscripts. Content analysis of the responses identified major issues. Editors and statistical reviewers (n = 25) from 20 journals responded. Respondents described problems that we classified into two, broad themes: A. statistical and sampling issues and B. inadequate reporting clarity or completeness. Problems included in the first theme were (1) inappropriate or incomplete analysis, including violations of model assumptions and analysis errors, (2) uninformed use of propensity scores, (3) failing to account for clustering in data analysis, (4) improperly addressing missing data, and (5) power/sample size concerns. Issues subsumed under the second theme were (1) Inadequate description of the methods and analysis and (2) Misstatement of results, including undue emphasis on p-values and incorrect inferences and interpretations.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The scientific quality of submitted manuscripts would increase if researchers addressed these common design, analytical, and reporting issues. 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Hyun</name><name sortKey="Reeder, Rachelle N" sort="Reeder, Rachelle N" uniqKey="Reeder R" first="Rachelle N" last="Reeder">Rachelle N. Reeder</name></noCountry><country name="États-Unis"><region name="Californie"><name sortKey="Fernandes Taylor, Sara" sort="Fernandes Taylor, Sara" uniqKey="Fernandes Taylor S" first="Sara" last="Fernandes-Taylor">Sara Fernandes-Taylor</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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