Bootstrap-based Correction

Bootstrap-Based Correction is a multiple testing correction method that estimates the null distribution of test statistics by resampling observed data with replacement to control family-wise error or false discovery rates under dependence structures.

44

Publications

2.3K

Citations

115

Authors

66

Institutions

Publications per year

2017–2026

5

Authors

115

  1. FC
    Francisco Cribari‐Neto

    Universidade Federal de Pernambuco, Brazil

    2 publications · 129 citations

    2

    h-index

  2. KS
    Kesar Singh

    Rutgers, The State University of New Jersey, United States

    2 publications · 95 citations

    2

    h-index

  3. GR
    Gadi Rennart

    University of Cambridge, United Kingdom

    2 publications · 126 citations

    2

    h-index

  4. MD
    M. Dawn Teare

    University of Sheffield, United Kingdom

    2 publications · 126 citations

    2

    h-index

  5. GE
    Gerdie Everaert

    Ghent University, Belgium

    2 publications · 318 citations

    2

    h-index

1–5 of 115

Venues

  1. The Annals of Statistics

    4 publications · 336 citations

    4

    h-index

  2. Biometrics

    2 publications · 36 citations

    2

    h-index

  3. Econometrica

    2 publications · 166 citations

    2

    h-index

  4. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 129 citations

    2

    h-index

  5. Biometrika

    2 publications · 67 citations

    2

    h-index

1–5