Wald, Score and LR Hypothesis testing is especially easy. Wald tests are specified with natural algebraic expressions, and tables testing all possible pairs of levels of categorical variables can be printed automatically for all occurrences of categorical variables, main effects and interactions. Predicted probabilities and prediction success tables will be produced for both subsamples allowing more accurate assessment of model performance. Start Values Optional start values may be specified for any model. This allows previously obtained results to be used to calculate predicted probabilities on new data sets, and to request further output for original data sets.
Output also includes predicted probabilities and predicted classification.
Simulation Simulation evaluates the logit and predicted probability for any set of values of the covariates along with odds ratios and confidence bounds. Simulation of logit differences is ideal for assessing the effects of interactions and simulation over a range of different values of the covariates allows graphing of the response curves and surfaces. Constrained estimation allows you to fix parameters at predetermined values.