Application of Principal Component Analysis in Dealing with Multicollinearity in Modelling Clinical Data
Introduction: One of the stringent assumptions about covariates in the Cox hazard and Logistic regression modelling is that they should be independent. Incorporating correlated covariates as such into the model might distort the precision of the estimates due to multicollinearity. One way to deal wi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2022-07-01
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| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://www.jcdr.net/articles/PDF/16629/55379_CE[Nik]_F[SH]_PF1(SC_SHU)_PFA(SC_KM)_PN(KM).pdf |