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: Tags: Research Source Type: research
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