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Using Latent Variables to Eliminate Multicollinearity Effect in A Logistic Regression on Risk Factors for Breast Cancer
Multicollinearity Latent Variables Factor Analysis Principal Components Analysis Logistic Regression Breast Cancer
2009/12/11
Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical re...
Using Latent Variables to Eliminate Multicollinearity Effect in A Logistic Regression on Risk Factors for Breast Cancer
Multicollinearity Latent Variables Factor Analysis Principal Components Analysis Logistic Regression Breast Cancer
2009/12/11
Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical re...