Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery

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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...

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Bibliographic Details
Main Authors:	Karim, M., Reid, Christopher, Tran, L., Cochrane, A., Billah, B.
Format:	Journal Article
Published:	The American Association of Thoracic Surgery 2017
Online Access:	http://hdl.handle.net/20.500.11937/16986

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