163 citations · 704 across the 74 of their papers we have counts for
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stat.ME2022★ 2 cited
Analysis of Relaxation Methods for Feature Selection in Mixed Effects Models
Aleksandr Aravkin, James Burke, Aleksei Sholokhov +1
Linear Mixed-Effects (LME) models are a fundamental tool for modeling clustered data, including cohort studies, longitudinal data analysis, and meta-analysis. The design and analys…
stat.ME2022★ 2 cited
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
Aleksei Sholokhov, James V. Burke, Damian F. Santomauro +2
Linear Mixed-Effects (LME) models are a fundamental tool for modeling correlated data, including cohort studies, longitudinal data analysis, and meta-analysis. Design and analysis…