Accounting for clustering in automated variable selection using hospital data: a comparison of different LASSO approaches
Automated feature selection methods such as the Least Absolute Shrinkage and Selection Operator (LASSO) have recently gained importance in the prediction of quality-related outcomes as well as the risk-adjustm...
Source: BMC Medical Research Methodology - Category: Research Authors: Stella Bollmann, Andreas Groll and Michael M. Havranek Tags: Research Source Type: research