| Literature DB >> 30948454 |
Emil Eik Nielsen1,2, Anders Kehlet Nørskov1, Theis Lange3,4, Lehana Thabane5, Jørn Wetterslev1,6, Jan Beyersmann7, Jacobo de Uña-Álvarez8, Valter Torri9, Laurent Billot10, Hein Putter11, Per Winkel1, Christian Gluud1, Janus Christian Jakobsen1,12.
Abstract
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. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.Mesh:
Year: 2019 PMID: 30948454 DOI: 10.1136/bmjebm-2019-111174
Source DB: PubMed Journal: BMJ Evid Based Med ISSN: 2515-446X