StatNews #76 Modeling Approaches to Binary Logistic Regression with Correlated Data
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چکیده
Binary logistic regression is a versatile statistical tool for analyzing binary responses in a wide range of disciplines (see Statnews #44 for an introduction to logistic regression). Similar to ordinary least squares regression, one key assumption in regular binary logistic regression is that observations are independent of each other. Violations of the assumption of independence of observations may result in incorrect statistical inferences due to biased standard errors.
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