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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2728532
Abstract: Partial least squares (PLS) regression is a versatile modeling approach for high-dimensional data analysis. Recently, PLS-based variable selection has attracted great attention due to high-throughput data reduction and modeling interpretability. In this paper, a class…
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Keywords:
marginal screening;
least squares;
squares regression;
screening partial ... See more keywords
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Published in 2019 at "Biometrics"
DOI: 10.1111/biom.12957
Abstract: Assessing the statistical significance of risk factors when screening large numbers of 2 × 2 tables that cross-classify disease status with each type of exposure poses a challenging multiple testing problem. The problem is especially…
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Keywords:
large scale;
control studies;
marginal screening;
case ... See more keywords