Nature

Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection

Variable selection in inferential modelling is problematic when the number of variables is large relative to the number of data points, especially when multicollinearity is present. A variety of ...
Nature

Variable selection with false discovery rate control in deep neural networks

Deep neural networks (DNNs) are a popular machine-learning technique and have shown superior performance in many scientific problems. Despite their high prediction accuracy, DNNs are often criticized ...
STAT

Epic’s sepsis algorithm is going off the rails in the real world. The use of these variables may explain why

In marketing materials and internal documents, national electronic health record vendor Epic Systems has touted the ability of its sepsis algorithm to crunch dozens of variables to detect the ...