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Review of guidance papers on regression modeling in statistical series of medical journals

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

Abstract:

Although regression models play a central role in the analysis of medical research projects, there still exist many misconceptions on various aspects of modeling leading to faulty analyses. Indeed, the rapidly developing statistical methodology and its recent advances in regression modeling do not seem to be adequately reflected in many medical publications. This problem of knowledge transfer from statistical research to application was identified by some medical journals, which have published series of statistical tutorials and (shorter) papers mainly addressing medical researchers. The aim of this review was to assess the current level of knowledge with regard to regression modeling contained in such statistical papers. We searched for target series by a request to international statistical experts. We identified 23 series including 57 topic-relevant articles. Within each article, two independent raters analyzed the content by investigating 44 predefined aspects on regression modeling. We assessed to what extent the aspects were explained and if examples, software advices, and recommendations for or against specific methods were given. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175299
Veröffentlicht am 18.10.2024
Originalveröffentlichung
DOI: 10.1371/journal.pone.0262918
Scopus
Zitationen: 14
Web of Science
Zitationen: 12
Dimensions
Zitationen: 21
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruher Institut für Technologie (KIT)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1932-6203
KITopen-ID: 1000175299
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Erschienen in PLOS ONE
Verlag Public Library of Science (PLoS)
Band 17
Heft 1
Seiten Art.-Nr.: e0262918
Vorab online veröffentlicht am 24.01.2022
Nachgewiesen in Scopus
Web of Science
Dimensions
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