Resampling-Based Multiple Testing

Westfall, P. H., & Young, S. S. (1993). Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment. Wiley.

Type

Book

Intellectual base

Textbook

Year

1993

DOI

10.1002/9780470316672

ISBN

9780471822226

Link

https://doi.org/10.1002/9780470316672

Cited from

statistics_experimental_design

Cited by

4 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Multiple Comparisons Correction
  • Hierarchical Bayesian alternatives bypass the correction framework entirely: rather than testing each parameter independently with correction, fit a joint model that shrinks estimates toward a pooled prior, implicitly handling multiplicity through partial pooling

    This sourceWestfall Young resampling multiple testing permutation bootstrap.

  • This sourceHochberg Tamhane multiple comparison procedures FWER FDR theory.

Domain-specific

• Family-Wise Error Rate
  • A procedure controls FWER at level α when that probability does not exceed α under the specified guarantee.
  • Westfall and Young show how resampling can exploit dependence to improve power while retaining joint error control under stated conditions.

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