ArticleStatistics in medicine2023
Online error rate control for platform trials.
Article in Statistics in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Asymptotic online FWER control for dependent test statistics.Statistical methods in medical research · 2026Article
- On the Inclusion of Non-Concurrent Controls in Platform Trials With an Interim Analysis.Statistics in medicine · 2026Article
- ADDIS-Graphs for Online Error Control With Application to Platform Trials.Biometrical journal. Biometrische Zeitschrift · 2025Article
- Article
- A Preplanned Multi-Stage Platform Trial for Discovering Multiple Superior Treatments With Control of FWER and Power.Biometrical journal. Biometrische Zeitschrift · 2025Article
- Developing generic templates to shape the future for conducting integrated research platform trials.Trials · 2024Article
- Current state-of-the-art and gaps in platform trials: 10 things you should know, insights from EU-PEARL.EClinicalMedicine · 2024Review
- Online multiple hypothesis testing.Statistical science : a review journal of the Institute of Mathematical Statistics · 2023Article
- Online error rate control for platform trials.Statistics in medicine · 2023Article
- The population-wise error rate for clinical trials with overlapping populations.Statistical methods in medical research · 2023Article
- Online control of the False Discovery Rate in group-sequential platform trials.Statistical methods in medical research · 2022Article
- Design Considerations for a Phase II Platform Trial in Major Depressive Disorder.Pharmaceutical statisticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Platform trials evaluate multiple experimental treatments under a single master protocol, where new treatment arms are added to the trial over time. Given the multiple treatment comparisons, there is the potential for inflation of the overall type I error rate, which is complicated by the fact that the hypotheses are tested at different times and are not necessarily pre-specified. Online error rate control methodology provides a possible solution to the problem of multiplicity for platform trials where a relatively large number of hypotheses are expected to be tested over time. In the online multiple hypothesis testing framework, hypotheses are tested one-by-one over time, where at each time-step an analyst decides whether to reject the current null hypothesis without knowledge of future tests but based solely on past decisions. Methodology has recently been developed for online control of the false discovery rate as well as the familywise error rate (FWER). In this article, we describe how to apply online error rate control to the platform trial setting, present extensive simulation results, and give some recommendations for the use of this new methodology in practice. We show that the algorithms for online error rate control can have a substantially lower FWER than uncorrected testing, while still achieving noticeable gains in power when compared with the use of a Bonferroni correction. We also illustrate how online error rate control would have impacted a currently ongoing platform trial.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.