Multicollinearity and misleading statistical results

Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression analyses. Diagnostic tools of multicollinearity include the variance inflation factor (VIF), condition index and condition n...

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Bibliographic Details

Published in:	Korean journal of anesthesiology Vol. 72; no. 6; pp. 558 - 569
Main Author:	Kim, Jong Hae
Format:	Journal Article
Language:	English
Published:	Korea (South) Korean Society of Anesthesiologists 01.12.2019 대한마취통증의학회
Subjects:	biomedical research biostatistics multivariable analysis regression statistical bias statistical data analysis Statistical Round 마취과학 Statistical bias Regression Biostatistics Statistical data analysis Biomedical research Multivariable analysis
ISSN:	2005-6419, 2005-7563, 2005-7563
Online Access:	Get full text
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