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Article Dans Une Revue eLife Année : 2021

Consensus-based guidance for conducting and reporting multi-analyst studies

1 ELTE - Eötvös Loránd University
2 Karolinska Institutet [Stockholm]
3 Tilburg University [Tilburg]
4 University of Groningen [Groningen]
5 USC - University of Southern California
6 UvA - University of Amsterdam [Amsterdam] = Universiteit van Amsterdam
7 Dartmouth College [Hanover]
8 WWU - Westfälische Wilhelms-Universität Münster = University of Münster
9 Empenn - Neuroimagerie: méthodes et applications
10 McLean Hospital [Belmont, Ma.]
11 Mizzou - University of Missouri [Columbia]
12 NUS - National University of Singapore
13 UNSW - University of New South Wales [Sydney]
14 SSE - Stockholm School of Economics
15 University Hospital Basel [Basel]
16 Monash University [Melbourne]
17 University of Wisconsin-Madison
18 LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München
19 Leopold Franzens Universität Innsbruck - University of Innsbruck
20 Maastricht University [Maastricht]
21 Princeton University
22 UVIC - University of Victoria [Canada]
23 Université Paris-Saclay
24 University of Bristol [Bristol]
25 University of Virginia
26 Stanford University
27 Unibas - Université de Bâle = University of Basel = Basel Universität
28 TAU - Tel Aviv University
29 ESMT - European School of Management and Technology [Berlin, Germany]
30 UCL - University College of London [London]
31 University of Sussex
32 UIUC - University of Illinois at Urbana-Champaign [Urbana]
33 University of Alberta
34 UMass Amherst - University of Massachusetts [Amherst]
35 INSEAD - Institut européen d'administration des affaires [Singapour, Singapour]
Balazs Aczel
Barnabas Szaszi
Gustav Nilsonne
Daniel Benjamin
Rotem Botvinik-Nezer
Laura Bringmann
Andrea Cataldo
Nelson Cowan
Andrew Delios
Ann Dreber
Gary Egan
Morton Ann Gernsbacher
Rink Hoekstra
Magnus Johannesson
Jean-Francois Mangin
Ben Newell
Russell Poldrack
Tom Schonberg
David Shanks
Samuel St-Jean
Jelte Wicherts

Résumé

Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.

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Neurosciences
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Dates et versions

inserm-03431812 , version 1 (02-06-2022)

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Balazs Aczel, Barnabas Szaszi, Gustav Nilsonne, Olmo van den Akker, Casper Albers, et al.. Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 2021, 10, pp.e72185. ⟨10.7554/eLife.72185⟩. ⟨inserm-03431812⟩
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