A multiple testing framework for diagnostic accuracy studies with co‐primary endpoints
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Investment styles and the multiple testing of cross-sectional stock return predictability
Sign Up to like & getrecommendations! 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;
Multiple testing correction over contrasts for brain imaging
Sign Up to like & getrecommendations! 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
Hidden Markov model in multiple testing on dependent count data
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Non-marginal decisions: A novel Bayesian multiple testing procedure
Sign Up to like & getrecommendations! Published in 2019 at "Electronic Journal of Statistics"
DOI: 10.1214/19-ejs1535
Abstract: In this paper we consider the problem of multiple testing when the hypotheses are dependent. In most of the existing literature, either Bayesian or non-Bayesian, the decision rules mainly focus on the validity of the… read more here.
Keywords: bayesian multiple; testing procedure; novel bayesian; multiple ... See more keywords