Simulation and Application Data for Paired Multivariate Equivalence and Superiority Tests

322.9 KB of data and code supporting a 2026 methodological paper by Yanxi Hu on multivariate equivalence and component-wise superiority tests for paired samples. The dataset includes R code and a DOCX document illustrating the proposed Intersection-Union Test and Likelihood Ratio Bootstrap Tests. Simulation studies demonstrate the method's ability to control type I error rates.

Use Cases

• Benchmarking new multivariate equivalence tests based on the described simulation framework.
• Applying the proposed bootstrap methods for component-wise superiority analysis in paired experimental data.
• Teaching advanced statistical concepts like Intersection-Union Tests using the provided R code examples.

Strengths

• Includes executable R code for implementing the proposed statistical tests.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and modification.
• The accompanying document likely provides detailed methodological context for the data.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The 322.9 KB size indicates a limited scope, likely containing illustrative examples rather than large-scale data.

Provenance

Source

figshare

Collection Method

Likely generated via simulation studies for methodological research, with an application to real data.

Time Range

null

Freshness

Last updated 2026-04-27 16:08:31; freshness should be verified.

Geography

null