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Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol

Bach, Paul; Wallisch, Christine; Klein, Nadja ORCID iD icon; Hafermann, Lorena; Sauerbrei, Willi; Steyerberg, Ewout W.; Heinze, Georg; Rauch, Geraldine ; Bender, Ralf [Hrsg.]

Abstract:

In the last decades, statistical methodology has developed rapidly, in particular in the field of regression modeling. Multivariable regression models are applied in almost all medical research projects. Therefore, the potential impact of statistical misconceptions within this field can be enormous Indeed, the current theoretical statistical knowledge is not always adequately transferred to the current practice in medical statistics. Some medical journals have identified this problem and published isolated statistical articles and even whole series thereof. In this systematic review, we aim to assess the current level of education on regression modeling that is provided to medical researchers via series of statistical articles published in medical journals. The present manuscript is a protocol for a systematic review that aims to assess which aspects of regression modeling are covered by statistical series published in medical journals that intend to train and guide applied medical researchers with limited statistical knowledge. Statistical paper series cannot easily be summarized and identified by common keywords in an electronic search engine like Scopus. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175454
Veröffentlicht am 23.10.2024
Originalveröffentlichung
DOI: 10.1371/journal.pone.0241427
Scopus
Zitationen: 2
Web of Science
Zitationen: 2
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruher Institut für Technologie (KIT)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1932-6203
KITopen-ID: 1000175454
Weitere HGF-Programme 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Erschienen in PLOS ONE
Verlag Public Library of Science (PLoS)
Band 15
Heft 12
Seiten e0241427
Vorab online veröffentlicht am 21.12.2020
Nachgewiesen in Scopus
Web of Science
Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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