Article

Accounting for clustering in automated variable selection using hospital data: A comparison of different LASSO approaches

2023-04-12

Abstract excerpt

<h4>Background: </h4> 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-adjustment of quality indicators in healthcare. The methods that have been used so far, however, do not account for the fact that patient data are typically nested within hospitals. <h4>Methods...

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Literature Corpus work: 33850a18-7d1e-589f-bee5-66854a3dccc8
DOI: 10.21203/rs.3.rs-2711646/v1

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