StatNews #91 Ordinal Logistic Regression Models and Statistical Software: What You Need to Know June 2016
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چکیده
Ordinal logistic regression is a statistical analysis method that can be used to model the relationship between an ordinal response variable and one or more explanatory variables. An ordinal variable is a categorical variable for which there is a clear ordering of the category levels. The explanatory variables may be either continuous or categorical. Estimating ordinal logistic regression models with statistical software is not difficult, but the interpretation of the model output can be cumbersome.
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تاریخ انتشار 2016