How often do leading biomedical journals use statistical experts to evaluate statistical methods? The results of a survey

Tom E. Hardwicke; Steven N. Goodman

doi:10.1371/journal.pone.0239598

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Peer-reviewed

Research Article

How often do leading biomedical journals use statistical experts to evaluate statistical methods? The results of a survey

Tom E. Hardwicke,

Roles Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing

Affiliation Meta-Research Innovation Center Berlin (METRIC-B), QUEST Center for Transforming Biomedical Research, Berlin Institute of Health, Charité –Universitätsmedizin Berlin, Berlin, Germany

http://orcid.org/0000-0001-9485-4952

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Steven N. Goodman

Roles Conceptualization, Data curation, Formal analysis, Investigation, Supervision, Writing – original draft

* E-mail: steve.goodman@stanford.edu

Affiliations Meta-Research Innovation Center at Stanford (METRICS), Stanford, CA, United States of America, Department of Epidemiology & Population Health and Medicine, Stanford University, Stanford, CA, United States of America, Department of Medicine, Stanford University, Stanford, CA, United States of America

http://orcid.org/0000-0002-3872-5723

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How often do leading biomedical journals use statistical experts to evaluate statistical methods? The results of a survey

Tom E. Hardwicke,
Steven N. Goodman

Published: October 1, 2020
https://doi.org/10.1371/journal.pone.0239598

About the Authors

Tom E. Hardwicke

Roles Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing

Affiliation Meta-Research Innovation Center Berlin (METRIC-B), QUEST Center for Transforming Biomedical Research, Berlin Institute of Health, Charité –Universitätsmedizin Berlin, Berlin, Germany

http://orcid.org/0000-0001-9485-4952

Steven N. Goodman

Roles Conceptualization, Data curation, Formal analysis, Investigation, Supervision, Writing – original draft

* E-mail: steve.goodman@stanford.edu

Affiliations Meta-Research Innovation Center at Stanford (METRICS), Stanford, CA, United States of America, Department of Epidemiology & Population Health and Medicine, Stanford University, Stanford, CA, United States of America, Department of Medicine, Stanford University, Stanford, CA, United States of America

http://orcid.org/0000-0002-3872-5723

Competing Interests

The authors have declared that no competing interests exist.

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