Assessing assumptions for statistical analyses in randomised clinical trials

Emil Eik Nielsen, Anders Kehlet Nørskov, Theis Lange, Lehana Thabane, Jørn Wetterslev, Jan Beyersmann, Jacobo de Uña-Álvarez, Valter Torri, Laurent Billot, Hein Putter, Per Winkel, Christian Gluud, Janus Christian Jakobsen

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

Abstrakt

In order to ensure the validity of results of randomised clinical trials and under some circumstances to optimise statistical power, most statistical methods require validation of underlying statistical assumptions. The present paper describes how trialists in major medical journals report tests of underlying statistical assumptions when analysing results of randomised clinical trials. We also consider possible solutions how to improve current practice by adequate reporting of tests of underlying statistical assumptions. We conclude that there is a need to reach consensus on which underlying assumptions should be assessed, how these underlying assumptions should be assessed and what should be done if the underlying assumptions are violated.

OriginalsprogEngelsk
Sider (fra-til)185-189
Antal sider5
TidsskriftBMJ Evidence-Based Medicine
Vol/bind24
Udgave nummer5
DOI
StatusUdgivet - 2019

Bibliografisk note

� Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

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