Selecting relevant moderators with Bayesian regularized meta‐regression
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DOI: 10.1002/jrsm.1628
Abstract: When meta‐analyzing heterogeneous bodies of literature, meta‐regression can be used to account for potentially relevant between‐studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of… read more here.
Keywords: regression; meta regression; bayesian regularized; relevant moderators ... See more keywords
Bayesian regularized quantile regression: A robust alternative for genome-based prediction of skewed data
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DOI: 10.1016/j.cj.2020.04.009
Abstract: Abstract Genomic prediction (GP) has become a valuable tool for predicting the performance of selection candidates for the next breeding cycle. A vast majority of statistical linear models on which GP is based rely on… read more here.
Keywords: regularized quantile; quantile regression; regression; bayesian regularized ... See more keywords