most citedEfficient Penalized Generalized Linear Mixed Models for Variable Selection and Genetic Risk Prediction in High-Dimensional Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ME2022★ 1 cited

Efficient Penalized Generalized Linear Mixed Models for Variable Selection and Genetic Risk Prediction in High-Dimensional Data

Julien St-Pierre, Karim Oualkacha, Sahir Rai Bhatnagar

Sparse regularized regression methods are now widely used in genome-wide association studies (GWAS) to address the multiple testing burden that limits discovery of potentially impo…

stat.ME2021

A copula-based set-variant association test for bivariate continuous or mixed phenotypes

Julien St-Pierre, Karim Oualkacha

In genome wide association studies (GWAS), researchers are often dealing with non-normally distributed traits or a mixture of discrete-continuous traits. However, most of the curre…