Statistical Methods for Multiple Testing Procedures with Co-Primary Endpoints

An article extending a p-value-based multiple testing procedure for scenarios where study success requires at least k out of m hypotheses to be rejected. The extension replaces an initial gatekeeping step with a Fixed-Sequence MTP, allowing inferences even if the gate is not passed. The work includes an R function for calculating adjusted p-values and is licensed under CC-BY-4.0.

Use Cases

• Designing clinical trial analysis plans based on the described stepwise multiple testing procedures.
• Comparing the power of Holm's procedure and the max-p-value MTP using the extended framework.
• Calculating adjusted p-values for familywise error rate control using the provided R function.
• Deriving confidence bounds for the number of false primary hypotheses in a study.

Strengths

• Includes an R function for practical implementation.
• Published under a permissive CC-BY-4.0 license.
• Theoretical properties are explicitly stated: general validity, potential to reject more hypotheses than Holm's procedure, and optimal critical constants.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Theoretical statistical research.

Time Range

Publication date is implied as 2026.

Freshness

Last updated 2026-05-07 10:07:44; freshness should be verified.

Geography

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