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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8477
Abstract: Linear mixed models (LMMs) and their extensions have been widely used for high-dimensional genomic data analyses. While LMMs hold great promise for risk prediction research, the high dimensionality of the data and different effect sizes…
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Keywords:
multikernel linear;
genomic regions;
adaptive lasso;
model ... See more keywords
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Published in 2022 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2021.1985950
Abstract: Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step…
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Keywords:
lasso;
adaptive lasso;
lasso adaptive;
regularization methods ... See more keywords
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1019138
Abstract: ABSTRACT The adaptive least absolute shrinkage and selection operator (Lasso) and least absolute deviation (LAD)-Lasso are two attractive shrinkage methods for simultaneous variable selection and regression parameter estimation. While the adaptive Lasso is efficient for…
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Keywords:
robust adaptive;
adaptive lasso;
lad lasso;
lasso ... See more keywords
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Published in 2023 at "PeerJ"
DOI: 10.7717/peerj.14635
Abstract: Background Anthropometric characteristics are important factors that affect swimming performance. The aim of this study is to build a discriminant model using anthropometric factors to identify elite short-to-medium-distance freestyle swimmers through an adaptive Lasso approach.…
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Keywords:
lasso approach;
adaptive lasso;
elite swimmers;
discriminant model ... See more keywords