When to stop a clinical trial.

Pocock, S. J.

doi:10.1136/bmj.305.6847.235

Cited by 255Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsStatistical Methods in Epidemiology

When to stop a clinical trial.

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Pocock, S. J.·1992·BMJ

DOI 10.1136/bmj.305.6847.235PMC PMC1882707

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There is a different threshold for stopping a trial in the case of potential harm than in the case of benefit.
“However, these decisions are rarely straightforward, and there is a different threshold for stopping a trial in the case of potential harm than in the case of benefit [17].”
From The recording of adverse events from psychological treatments in clinical trials: evidence from a review of NIHR-funded trials (2014) · cites this paper as [17]

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Authors: Pocock, S. J.
Affiliations: London School of Hygiene & Tropical Medicine (GB)
Corresponding author: Pocock, S. J.
ORCID: Pocock, S. J.
Venue: BMJ
Publisher: BMJ
Published: 1992-07-25
Volume: 305
Issue: 6847
Pages: 235-240
ISSN: 0007-1447 (ISSN-L)
0959-8138
1468-5833
DOI: 10.1136/bmj.305.6847.235
PMC: PMC1882707
OpenAlex: W1968817382
Cited by: 255
References: 21
Citations by year: 2025: 2 · 2024: 1 · 2023: 5 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 10 · 2018: 4 · 2017: 6 · 2016: 12 · 2015: 10 · 2014: 20 · 2013: 8 · 2012: 12
FWCI: 10.53
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: BMJ (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
HighWire Press Open Archive (submittedVersion)
DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: clinical trial termination, stopping rules, trial ethics
MeSH terms: Clinical Trials as Topic, Data Interpretation, Statistical, Decision Making, Ethics, Medical, Risk Assessment, Information Dissemination, Editorial Policies, Uncertainty, Therapeutic Human Experimentation

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