Assessing assumptions for statistical analyses in randomised clinical trials
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Assessing assumptions for statistical analyses in randomised clinical trials. / Nielsen, Emil Eik; Nørskov, Anders Kehlet; Lange, Theis; Thabane, Lehana; Wetterslev, Jørn; Beyersmann, Jan; De Unã-Álvarez, Jacobo; Torri, Valter; Billot, Laurent; Putter, Hein; Winkel, Per; Gluud, Christian; Jakobsen, Janus Christian.
In: BMJ Evidence-Based Medicine, Vol. 24, No. 5, 2019, p. 185-189.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Assessing assumptions for statistical analyses in randomised clinical trials
AU - Nielsen, Emil Eik
AU - Nørskov, Anders Kehlet
AU - Lange, Theis
AU - Thabane, Lehana
AU - Wetterslev, Jørn
AU - Beyersmann, Jan
AU - De Unã-Álvarez, Jacobo
AU - Torri, Valter
AU - Billot, Laurent
AU - Putter, Hein
AU - Winkel, Per
AU - Gluud, Christian
AU - Jakobsen, Janus Christian
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
U2 - 10.1136/bmjebm-2019-111174
DO - 10.1136/bmjebm-2019-111174
M3 - Journal article
C2 - 30948454
AN - SCOPUS:85064015134
VL - 24
SP - 185
EP - 189
JO - BMJ Evidence-Based Medicine
JF - BMJ Evidence-Based Medicine
SN - 2515-446X
IS - 5
ER -
ID: 239625502