Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

The trick is to encode such variables using what is called 1-of- (N-1) encoding. For example, if a predictor variable is color, with possible values (red, blue, green), then you'd encode red as (1, 0) ...

This is a preview. Log in through your library . Abstract Some results are presented on improving the fit of the logistic regression model for binary data by transforming the vector of explanatory ...

A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of Rosner (1984) as a special case. Properties such as the ...

Logistic regression is a technique used to make predictions in situations where the item to predict can take one of just two possible values. For example, you might want to predict the credit ...