A method for constructing a confidence bound for the actual error rate of a prediction rule in high dimensions

DOI10.1093/biostatistics/kxn035zbMath1437.62443OpenAlexW2098533750WikidataQ37322069 ScholiaQ37322069MaRDI QIDQ3304962

Kevin K. Dobbin

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxn035

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Estimation of predictive performance in high-dimensional data settings using learning curves

Cites Work

• Sample size planning for developing classifiers using high-dimensional DNA microarray data
• Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling
• Bootstrap confidence intervals for a class of parametric problems
• Better Bootstrap Confidence Intervals
• On the expectation of errors of allocation associated with a linear discriminant function
• Confidence Intervals for the Conditional Probability of Misallocation in Discriminant Analysis
• Improvements on Cross-Validation: The .632+ Bootstrap Method
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Selection bias in gene extraction on the basis of microarray gene-expression data

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