ArticleBiometrics2010
Bias-corrected diagonal discriminant rules for high-dimensional classification.
Article in Biometrics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- TabDEG: Classifying differentially expressed genes from RNA-seq data based on feature extraction and deep learning framework.PloS one · 2024Article
- NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.BMC bioinformatics · 2016Article
- Block-diagonal discriminant analysis and its bias-corrected rules.Statistical applications in genetics and molecular biology · 2013Article
- Improved shrunken centroid classifiers for high-dimensional class-imbalanced data.BMC bioinformatics · 2013Article
- Improved mean estimation and its application to diagonal discriminant analysis.Bioinformatics (Oxford, England) · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Diagonal discriminant rules have been successfully used for high-dimensional classification problems, but suffer from the serious drawback of biased discriminant scores. In this article, we propose improved diagonal discriminant rules with bias-corrected discriminant scores for high-dimensional classification. We show that the proposed discriminant scores dominate the standard ones under the quadratic loss function. Analytical results on why the bias-corrected rules can potentially improve the predication accuracy are also provided. Finally, we demonstrate the improvement of the proposed rules over the original ones through extensive simulation studies and real case studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.