Generalized Estimating Equations Export
Export model as data. Writes a dataset in IBM® SPSS® Statistics format containing the parameter correlation or covariance matrix with parameter estimates, standard errors, significance values, and degrees of freedom. The order of variables in the matrix file is as follows.
- Split variables. If used, any variables defining splits.
- RowType_. Takes values (and value labels) COV (covariances), CORR (correlations), EST (parameter estimates), SE (standard errors), SIG (significance levels), and DF (sampling design degrees of freedom). There is a separate case with row type COV (or CORR) for each model parameter, plus a separate case for each of the other row types.
- VarName_. Takes values P1, P2, ..., corresponding to an ordered list of all estimated model parameters (except the scale or negative binomial parameters), for row types COV or CORR, with value labels corresponding to the parameter strings shown in the Parameter estimates table. The cells are blank for other row types.
- P1, P2, ... These variables correspond to an ordered list
of all model parameters (including the scale and negative binomial
parameters, as appropriate), with variable labels corresponding to
the parameter strings shown in the Parameter estimates table, and
take values according to the row type.
For redundant parameters, all covariances are set to zero, correlations are set to the system-missing value; all parameter estimates are set at zero; and all standard errors, significance levels, and residual degrees of freedom are set to the system-missing value.
For the scale parameter, covariances, correlations, significance level and degrees of freedom are set to the system-missing value. If the scale parameter is estimated via maximum likelihood, the standard error is given; otherwise it is set to the system-missing value.
For the negative binomial parameter, covariances, correlations, significance level and degrees of freedom are set to the system-missing value. If the negative binomial parameter is estimated via maximum likelihood, the standard error is given; otherwise it is set to the system-missing value.
If there are splits, then the list of parameters must be accumulated across all splits. In a given split, some parameters may be irrelevant; this is not the same as redundant. For irrelevant parameters, all covariances or correlations, parameter estimates, standard errors, significance levels, and degrees of freedom are set to the system-missing value.
You can use this matrix file as the initial values for further model estimation; note that this file is not immediately usable for further analyses in other procedures that read a matrix file unless those procedures accept all the row types exported here. Even then, you should take care that all parameters in this matrix file have the same meaning for the procedure reading the file.
Export model as XML. Saves the parameter estimates and the parameter covariance matrix, if selected, in XML (PMML) format. You can use this model file to apply the model information to other data files for scoring purposes. See the topic Scoring Wizard for more information.
How To Save Model Output for Generalized Estimating Equations
This feature requires SPSS Statistics Standard Edition or the Advanced Statistics Option.
- From the
menus choose:
- In the Generalized Estimating Equations dialog box, click Export.