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Principal components analysis in clinical studies
In multivariate analysis, independent variables are usually correlated to each other which can introduce multicollinearity in the regression models. One approach to solve this problem is to apply principal components analysis (PCA) over these variables. This method uses orthogonal transformation to...
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| Vydáno v: | Ann Transl Med |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
AME Publishing Company
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5599285/ https://ncbi.nlm.nih.gov/pubmed/28936445 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2017.07.12 |
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