We consider the estimation of regression models on strata defined using a categorical covariate, in order to identify interactions between this categorical covariate and the other predictors. A basic ...

Cun-Hui Zhang, Jian Huang, The Sparsity and Bias of the Lasso Selection in High-Dimensional Linear Regression, The Annals of Statistics, Vol. 36, No. 4 (Aug., 2008), pp. 1567-1594 ...

But once you add at least one independent variable, like fuel prices or travellers’ purchasing power, this would be an example of multiple regression analysis. #2 Lasso regression Source: cvxpy.org ...

Lasso-Cox analysis uses the “glmnet” R software package to integrate survival time, survival state, and gene expression data to screen and identify candidate ARGs for constructing prognostic models to ...