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   Articles with "multiple testing" as a keyword



A multiple testing framework for diagnostic accuracy studies with co‐primary endpoints

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9308

Abstract: Major advances have been made regarding the utilization of machine learning techniques for disease diagnosis and prognosis based on complex and high‐dimensional data. Despite all justified enthusiasm, overoptimistic assessments of predictive performance are still common… read more here.

Keywords: primary endpoints; accuracy studies; model; testing framework ... See more keywords

Multiple testing approaches for hypotheses in integrative genomics

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recommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Computational Statistics"

DOI: 10.1002/wics.1493

Abstract: With the explosion in available technologies for measuring many biological phenomena on a large scale, there have been concerted efforts in a variety of biological and medical settings to perform systems biology analyses. A crucial… read more here.

Keywords: hypotheses integrative; integrative genomics; testing approaches; approaches hypotheses ... See more keywords

On limiting behaviors of stepwise multiple testing procedures

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recommendations! Published in 2024 at "Statistical Papers"

DOI: 10.1007/s00362-024-01613-6

Abstract: Stepwise multiple testing procedures have attracted several statisticians for decades and are also quite popular with statistics users because of their technical simplicity. The Bonferroni procedure has been one of the earliest and most prominent… read more here.

Keywords: limiting behaviors; testing procedures; testing; multiple testing ... See more keywords

A new p-value based multiple testing procedure for generalized linear models

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recommendations! Published in 2025 at "Statistics and Computing"

DOI: 10.1007/s11222-025-10600-2

Abstract: This study introduces a novel p-value-based multiple testing approach tailored for generalized linear models. Despite the crucial role of generalized linear models in statistics, existing methodologies face obstacles arising from the heterogeneous variance of response… read more here.

Keywords: based multiple; testing procedure; multiple testing; linear models ... See more keywords

Investment styles and the multiple testing of cross-sectional stock return predictability

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recommendations! Published in 2020 at "Journal of Financial Markets"

DOI: 10.1016/j.finmar.2020.100598

Abstract: Abstract The scheme of simultaneously testing many profitable strategies may conceal the hazard of data-snooping bias. However, certain portfolio returns are also more likely to exhibit codependency because of their same investment styles. Aiming at… read more here.

Keywords: investment styles; stock return; multiple testing;
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Multiple testing correction over contrasts for brain imaging

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recommendations! Published in 2020 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2020.116760

Abstract: The multiple testing problem arises not only when there are many voxels or vertices in an image representation of the brain, but also when multiple contrasts of parameter estimates (that represent hypotheses) are tested in… read more here.

Keywords: testing correction; correction; brain imaging; correction contrasts ... See more keywords
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Hidden Markov model in multiple testing on dependent count data

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recommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2019.1710507

Abstract: ABSTRACT Multiple testing on dependent count data faces two basic modelling elements: the choice of distributions under the null and the non-null states and the modelling of the dependence structure across observations. A Bayesian hidden… read more here.

Keywords: testing dependent; model; count data; dependent count ... See more keywords

On the d-posterior approach to the multiple testing problem

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recommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2020.1825717

Abstract: The problem of multiple testing is considered as a special case of the problem of guaranteed discrimination of hypotheses in a d-posterior approach. This approach is based on the Bayesian paradigm and applies only to… read more here.

Keywords: testing problem; posterior approach; approach multiple; problem ... See more keywords

Weighted False Discovery Rate Control in Large-Scale Multiple Testing

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recommendations! Published in 2018 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2017.1336443

Abstract: ABSTRACT The use of weights provides an effective strategy to incorporate prior domain knowledge in large-scale inference. This article studies weighted multiple testing in a decision-theoretical framework. We develop oracle and data-driven procedures that aim… read more here.

Keywords: large scale; discovery rate; false discovery; rate ... See more keywords

2dGBH: Two-dimensional group Benjamini–Hochberg procedure for false discovery rate control in two-way multiple testing of genomic data

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recommendations! Published in 2024 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btae035

Abstract: Abstract Motivation Emerging omics technologies have introduced a two-way grouping structure in multiple testing, as seen in single-cell omics data, where the features can be grouped by either genes or cell types. Traditional multiple testing… read more here.

Keywords: two way; benjamini hochberg; way; multiple testing ... See more keywords

A Note on E-values and Multiple Testing

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recommendations! Published in 2024 at "Biometrika"

DOI: 10.1093/biomet/asae050

Abstract: We discover a connection between the Benjamini-Hochberg procedure and the e-BenjaminiHochberg procedure (Wang & Ramdas, 2022) with a suitably defined set of e-values. This insight extends to Storey’s procedure and generalized versions of the Benjamini-Hochberg… read more here.

Keywords: procedure; values multiple; multiple testing; note values ... See more keywords