Subsampling techniques enable uncoordinated data reuse while keeping the expected variance of Type I error counts close to the independent case, outperforming data splitting in scaling with the number of tests.
R Foundation for Statistical Computing, Vienna, Austria
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Data Reuse and the Long Shadow of Error: Splitting, Subsampling, and Prospectively Managing Inferential Errors
Subsampling techniques enable uncoordinated data reuse while keeping the expected variance of Type I error counts close to the independent case, outperforming data splitting in scaling with the number of tests.