Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery
Objective: To compare the impact of different variable selection methods in multiple regression to develop a parsimonious model for predicting postoperative outcomes of patients undergoing cardiac surgery. Methods: Data from 84,135 patients in the Australian and New Zealand Society of Cardiac and Th...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
The American Association of Thoracic Surgery
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/16986 |