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

The utility of a network–based clustering method for dimension reduction of imaging and non-imaging biomarkers predictive of Alzheimer’s disease

While the identification of biomarkers for Alzheimer’s disease (AD) is critical, emphasis must also be placed on defining the relationship between these and other indicators. To this end, we propose a ...