Setting Options

Option	Description
Methods
Dispersion
Adjust for overdispersion	adjusts the parameter covariance matrix and the likelihood function by a scale parameter. For the dispersion parameter, you can select a Pearson estimate or a deviance estimate. To define the subpopulations for calculating the Pearson and deviance chi-square goodness-of-fit tests, assign one or more variables to the role. Note: This option is available only for binomial and multinomial distributions.
Estimate dispersion parameter	enables you to specify a fixed dispersion parameter for those distributions that have a dispersion parameter. By default, this parameter is estimated. Note: This option is not available for binomial and multinomial distributions, but it is available for the other distribution types.
Optimization
Maximum number of iterations	specifies the maximum number of iterations to perform for the selected optimization technique.
Statistics
You can select the statistics to include in the output. The list of statistics depends on the selected distribution. Here are the additional statistics that you can include: type 1 (sequential) analysis type 3 analysis Wald statistics for Type 3 contrasts confidence intervals, such as Profile likelihood confidence intervals and Wald confidence intervals correlations of parameter estimates covariances of parameter estimates observation statistics, such as influence diagnostics, predicted values and confidence intervals, and residuals multiple comparisons for classification effects exact tests, which are available only for binomial distributions with a logit link function or a Poisson distribution with a log link function.
Plots
You can select the plots to display in the output. If you choose to display multiple plots, you can display these plots individually or as a panel. The list of available plots depends on the type of model. Here are some plots that you can include in your results: predicted plots influence plots, such as Cook’s D by observation number and DFBETA by observation number plots of residuals, deviance residuals, standardized deviance residuals, Pearson residuals, standardized Pearson residuals, standardized Pearson residuals, and likelihood residuals.