Combining dependent \(P\)-values.

DOI10.1016/S0167-7152(02)00310-3zbMath1092.62507OpenAlexW2089175718WikidataQ29540849 ScholiaQ29540849MaRDI QIDQ1871327

Michael P. McDermott, James T. Kost

Publication date: 7 May 2003

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00310-3

zbMATH Keywords

approximationFisher's combination methodOrder restricted inferenceScaled \(\chi ^2\)

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (15)

Combining dependent \(p\)-values by gamma distributions ⋮ Distribution of Fisher's combination statistic when the tests are dependent ⋮ A test of harmful multicollinearity: A generalized ridge regression approach ⋮ Testing for outliers with conformal p-values ⋮ The Generalized Fisher's Combination and Accurate P-Value Calculation under Dependence ⋮ Adaptive dose‐response studies to establish proof‐of‐concept in learning‐phase clinical trials ⋮ A bootstrap method to calculate the p -value of Fisher’s combination for a large number of weakly dependent p -values ⋮ Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm ⋮ Distribution of weighted Lancaster’s statistic for combining independent or dependent P-values, with applications to human genetic studies ⋮ Signal localization: a new approach in signal discovery ⋮ Combining p-values for Multivariate Predictive Ability Testing ⋮ A test of location for exchangeable multivariate normal data with unknown correlation ⋮ Interactive martingale tests for the global null ⋮ Dependency and truncated forms of combinations in multivariate combination-based permutation tests and ordered categorical variables ⋮ Testing Equality of Means Under Order Restrictions Using Multiple Contrasts

Cites Work

• Comparison of Several Treatments with a Control Using Multiple Contrasts
• 400: A Method for Combining Non-Independent, One-Sided Tests of Significance
• A Simple Approach to Testing Homogeneity of Order-Constrained Means
• Generalized orthogonal contrast tests for homogeneity of ordered means
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