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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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| Format: | Online Article Text |
| Language: | English |
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Korean Society of Anesthesiologists
2019
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900425/ https://www.ncbi.nlm.nih.gov/pubmed/31304696 http://dx.doi.org/10.4097/kja.19087 |