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Hoffmann, S.* ; Schoenbrodt, F.* ; Elsas, R.* ; Wilson, R. ; Strasser, U.* ; Boulesteix, A.-L.*

The multiplicity of analysis strategies jeopardizes replicability: Lessons learned across disciplines.

R. Soc. Open Sci. 8:201925 (2021)
Verlagsversion Forschungsdaten DOI PMC
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For a given research question, there are usually a large variety of possible analysis strategies acceptable according to the scientific standards of the field, and there are concerns that this multiplicity of analysis strategies plays an important role in the non-replicability of research findings. Here, we define a general framework on common sources of uncertainty arising in computational analyses that lead to this multiplicity, and apply this framework within an overview of approaches proposed across disciplines to address the issue. Armed with this framework, and a set of recommendations derived therefrom, researchers will be able to recognize strategies applicable to their field and use them to generate findings more likely to be replicated in future studies, ultimately improving the credibility of the scientific process.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Replicability Crisis ; Uncertainty ; Open Science ; Interdisciplinary Perspective ; Metaresearch
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 2054-5703
e-ISSN 2054-5703
Zeitschrift Royal Society Open Science
Quellenangaben Band: 8, Heft: 4, Seiten: , Artikelnummer: 201925 Supplement: ,
Verlag Royal Society of London
Verlagsort 6-9 Carlton House Terrace, London Sw1y 5ag, England
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504091-001
Förderungen German Research Foundation (DFG)
DOI 10.1098/rsos.201925
WOS ID WOS:000642216000001
Scopus ID 85106728618
PubMed ID 33996122
Erfassungsdatum 2021-05-26
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