When randomisation goes horribly wrong: examples of major failures of randomisation and strategies to avoid them

Randomisation is of fundamental importance in clinical trials. Greater consideration should be given to the potential for major failures of randomisation and strategies to avoid them. When major failures of randomisation do occur, greater transparency in reporting is needed.

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Publication Details

Journal
Trials
Published
2025-12-20
DOI
https://doi.org/10.1186/s13063-025-09390-9
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

When randomisation goes horribly wrong: examples of major failures of randomisation and strategies to avoid them

Kylie Lange, Alana R. Cuthbert, Thomas Sullivan, Kristy Pamela Robledo et al.
Trials
Statistical Methods in Clinical Trials
article

When randomisation goes horribly wrong: examples of major failures of randomisation and strategies to avoid them

Kylie Lange, Alana R. Cuthbert, Thomas Sullivan, Kristy Pamela Robledo, Sabine Braat, Lisa N Yelland
article en

Abstract

Randomisation is of fundamental importance in clinical trials. Greater consideration should be given to the potential for major failures of randomisation and strategies to avoid them. When major failures of randomisation do occur, greater transparency in reporting is needed.

TrialsVol. 27(1)
The University of Sydney (AU), The University of Melbourne (AU), SA Health (AU), South Australian Health and Medical Research Institute (AU), Melbourne Health (AU), National Health and Medical Research Council (AU), The University of Adelaide (AU)
Openalex Percentile: Top 62%
Statistical Methods in Clinical Trials
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When randomisation goes horribly wrong: examples of major failures of randomisation and strategies to avoid them — Kylie Lange, Alana R. Cuthbert, et al. · Trials (2025) | TGRS Research Map | TGRS