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An introduction to group sequential methods: planning and multi-aspect optimization

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arxiv 2303.01040 v1 pith:P4IKZP4W submitted 2023-03-02 stat.AP

An introduction to group sequential methods: planning and multi-aspect optimization

classification stat.AP
keywords groupsequentialtrialdesignplanningwhenabilityaccepted
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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A group sequential clinical trial design can be an attractive option when planning a pivotal trial as this approach has the ability to stop the trial early for success, whilst also being well accepted from a regulatory review perspective. Compared to a single stage design there are more moving parts to consider and optimise when planning a group sequential trial. This tutorial briefly outlines the group sequential methodology before detailing some of the key operating characteristics and how these can be estimated, optimised and ultimately presented to decision makers when aligning on a final study design.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Stop Guessing When to Stop Testing: Efficient Model Evaluation with Just Enough Data

    cs.LG 2026-07 accept novelty 6.0

    Sequential testing with tailored stopping rules lets model evaluation halt early once statistical needs (CI width, significance, equivalence) are met, saving up to 80% compute on VLM leaderboards.

  2. Optimal scheduling of interim analyses in group sequential trials

    stat.ME 2025-09 conditional novelty 5.0

    Optimal interim analysis schedules that minimize expected sample size under the alternative are independent of effect size and endpoint type, and yield modest gains over equal spacing (up to 5.4% for O'Brien-Fleming designs).