Multilevel Models vs Marginal Models
Logistic Regression Logistic regression is an extension to linear regression. When there are only only 2 options for the predicted values, like failed (0) or success (1), linear regression model is not appropriate. Instead, we will predict a transformed version of the probability of success. It is call the logit transformation where the logit function … Continue reading Multilevel Models vs Marginal Models
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