Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of covariance, and many other analyses. The following features for regression ...

This is a preview. Log in through your library . Abstract A logistic regression analysis based on the complete cases neglects the information due to subjects with missing values in at least one but ...