Clements, Michelle N;
White, Ian R;
Copas, Andrew J;
Cornelius, Victoria;
Cro, Suzie;
Dunn, David T;
Quartagno, Matteo;
... Walker, A Sarah; + view all
(2022)
Improving Clinical Trial Interpretation with ACCEPT Analyses.
NEJM Evidence
, 1
(8)
, Article EVIDctw2200018. 10.1056/evidctw2200018.
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Abstract
Effective decision-making from randomized controlled clinical trials relies on robust interpretation of the numerical results. However, the language we use to describe clinical trials can cause confusion both in trial design and in comparing results across trials. ACceptability Curve Estimation using Probability above Threshold (ACCEPT) aids comparison between trials (even when of different designs) by harmonizing reporting of results, acknowledging that different interpretations of the results may be valid in different situations, and moving the focus from comparison with a prespecified value to interpretation of the trial data. ACCEPT can be applied to historical trials or can be incorporated into statistical analysis plans for future analyses. An online tool enables ACCEPT on up to three trials simultaneously.
Type: | Article |
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Title: | Improving Clinical Trial Interpretation with ACCEPT Analyses |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1056/evidctw2200018 |
Publisher version: | https://doi.org/10.1056/evidctw2200018 |
Language: | English |
Additional information: | © The Author 2022. Original content in this accepted manuscript is licensed under the terms of the Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) Licence (https://creativecommons.org/licenses/by-nd/4.0/). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health > Infection and Population Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/10153008 |
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