A bootstrap method to calculate the p -value of Fisher’s combination for a large number of weakly dependent p -values

DOI10.1080/03610918.2021.1955265OpenAlexW3188439372MaRDI QIDQ6082987

No author found.

Publication date: 7 December 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1955265

zbMATH Keywords

meta-analysisdependent data bootstrap schemeFisher's combination method for \(p\)-values

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Time series: Theory and methods
• Combining dependent \(P\)-values.
• Higher criticism for detecting sparse heterogeneous mixtures.
• A stationary bootstrap test about two mean vectors comparison with somewhat dense differences and fewer sample size than dimension
• Multiple phenotype association tests using summary statistics in genome-wide association studies
• Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
• Goodness-of-fit test statistics that dominate the Kolmogorov statistics
• The Stationary Bootstrap
• BIAS-CORRECTED NONPARAMETRIC SPECTRAL ESTIMATION
• Automatic Block-Length Selection for the Dependent Bootstrap
• Adaptive bandwidth choice
• ON A METHOD OF DETERMINING WHETHER A SAMPLE OF SIZE n SUPPOSED TO HAVE BEEN DRAWN FROM A PARENT POPULATION HAVING A KNOWN PROBABILITY INTEGRAL HAS PROBABLY BEEN DRAWN AT RANDOM

This page was built for publication: A bootstrap method to calculate the p -value of Fisher’s combination for a large number of weakly dependent p -values