Assessment of assumptions of statistical analysis methods in randomised clinical trials: the what and how

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

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

Abstrakt

When analysing and presenting results of randomised clinical trials, trialists rarely report if or how underlying statistical assumptions were validated. To avoid data-driven biased trial results, it should be common practice to prospectively describe the assessments of underlying assumptions. In existing literature, there is no consensus on how trialists should assess and report underlying assumptions for the analyses of randomised clinical trials. With this study, we developed suggestions on how to test and validate underlying assumptions behind logistic regression, linear regression, and Cox regression when analysing results of randomised clinical trials.Two investigators compiled an initial draftbased on a review of the literature. Experienced statisticians and trialists from eight different research centres and trial units then participated in a anonymised consensus process, where we reached agreement on the suggestions presented in this paper.This paper provides detailed suggestions on 1) which underlying statistical assumptions behind logistic regression, multiple linear regression and Cox regression each should be assessed; 2) how these underlying assumptions may be assessed; and 3) what to do if these assumptions are violated.We believe that the validity of randomised clinical trial results will increase if our recommendations for assessing and dealing with violations of the underlying statistical assumptions are followed.

OriginalsprogEngelsk
Sider (fra-til)121-126
Antal sider6
TidsskriftBMJ Evidence-Based Medicine
Vol/bind26
Udgave nummer3
Tidlig onlinedato27 jan. 2020
DOI
StatusUdgivet - jun. 2021

Bibliografisk note

© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

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