Using Latent Variables to Eliminate Multicollinearity Effect in A Logistic Regression on Risk Factors for Breast Cancer
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 response. Strong correlations among explanatory variables (multicollinearity) reduce the efficiency o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Tehran University of Medical Sciences
2006-02-01
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| Series: | مجله اپیدمیولوژی ایران |
| Subjects: | |
| Online Access: | http://irje.tums.ac.ir/browse.php?a_code=A-10-25-196&slc_lang=en&sid=1 |