PROC GENMOD assigns a name to each table that it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed separately in Table 13 for a maximum likelihood analysis, in Table 14 for a Bayesian analysis, and in Table 15 for an Exact analysis. For more information about ODS, see Chapter 23, Using the Output Delivery System.
Table 13: ODS Tables Produced in PROC GENMOD for a Classical Analysis
| ODS Table Name | Description | Statements | Option |
|---|---|---|---|
| AssessmentSummary | Model assessment summary | ASSESS | Default |
| ClassLevels | Classification variable levels | CLASS | Default |
| Contrasts | Tests of contrasts | CONTRAST | Default |
| ContrastCoef | Contrast coefficients | CONTRAST | E |
| ConvergenceStatus | Convergence status | MODEL | Default |
| CorrB | Parameter estimate correlation matrix | MODEL | CORRB |
| CovB | Parameter estimate covariance matrix | MODEL | COVB |
| Estimates | Estimates of contrasts | ESTIMATE | Default |
| EstimateCoef | Contrast coefficients | ESTIMATE | E |
| GEEEmpPEst | GEE parameter estimates with empirical standard errors | REPEATED | Default |
| GEEExchCorr | GEE exchangeable working correlation value | REPEATED | TYPE=EXCH |
| GEEFitCriteria | GEE QIC fit criteria | REPEATED | Default |
| GEELogORInfo | GEE log odds ratio model information | REPEATED | LOGOR= |
| GEEModInfo | GEE model information | REPEATED | Default |
| GEEModPEst | GEE parameter estimates with model-based standard errors | REPEATED | MODELSE |
| GEENCorr | GEE model-based correlation matrix | REPEATED | MCORRB |
| GEENCov | GEE model-based covariance matrix | REPEATED | MCOVB |
| GEERCorr | GEE empirical correlation matrix | REPEATED | ECORRB |
| GEERCov | GEE empirical covariance matrix | REPEATED | ECOVB |
| GEEWCorr | GEE working correlation matrix | REPEATED | CORRW |
| IterContrasts | Iteration history for contrasts | MODEL CONTRAST | ITPRINT |
| IterLRCI | Iteration history for likelihood ratio confidence intervals | MODEL | LRCI ITPRINT |
| IterParms | Iteration history for parameter estimates | MODEL | ITPRINT |
| IterParmsGEE | Iteration history for GEE parameter estimates | MODEL REPEATED | ITPRINT |
| IterType3 | Iteration history for Type 3 statistics | MODEL | TYPE3 ITPRINT |
| LRCI | Likelihood ratio confidence intervals | MODEL | LRCI ITPRINT |
| Coef | Coefficients for least squares means | LSMEANS | E |
| Diffs | Least squares means differences | LSMEANS | DIFF |
| LSMeans | Least squares means | LSMEANS | Default |
| LagrangeStatistics | Lagrange statistics | MODEL | NOINT | NOSCALE |
| LastGEEGrad | Last evaluation of the generalized gradient and Hessian | MODEL REPEATED | ITPRINT |
| LastGradHess | Last evaluation of the gradient and Hessian | MODEL | ITPRINT |
| LinDep | Linearly dependent rows of contrasts | CONTRAST | Default |
| ModelANOVA | Type 3 tests or joint tests | MODEL | TYPE3 without REPEATED | ZEROMODEL |
| ModelInfo | Model information | MODEL | Default |
| Modelfit | Goodness-of-fit statistics | MODEL | Default without REPEATED |
| NObs | Number of observations summary | Default | |
| NonEst | Nonestimable rows of contrasts | CONTRAST | Default |
| ObStats | Observation-wise statistics | MODEL | OBSTATS | CL | PREDICTED | RESIDUALS | XVARS |
| ParameterEstimates | Parameter estimates | MODEL | Default without REPEATED | PRINTMLE with REPEATED |
| ParmInfo | Parameter indices | MODEL | Default |
| ResponseProfile | Frequency counts for multinomial and binary models | MODEL | DIST=MULTINOMIAL | DIST=BINOMIAL |
| Type1 | Type 1 tests | MODEL | TYPE1 |
| Type3 | Type 3 tests or joint tests for GEE model | MODEL REPEATED | TYPE3 |
| Type3Zero | Type 3 tests or joint tests for zero-inflated model | MODEL ZEROMODEL | TYPE3 |
| ZeroParameterEstimates | Parameter estimates for zero-inflated model | ZEROMODEL | Default |
Table 14: ODS Tables Produced in PROC GENMOD for a Bayesian Analysis
| ODS Table Name | Description | Statement | Option |
|---|---|---|---|
| AutoCorr | Autocorrelations of the posterior samples | BAYES | Default |
| ClassLevels | Classification variable levels | CLASS | Default |
| CoeffPrior | Prior distribution of the regression coefficients | BAYES | Default |
| ConvergenceStatus | Convergence status of maximum likelihood estimation | MODEL | Default |
| Corr | Correlation matrix of the posterior samples | BAYES | SUMMARY=CORR |
| ESS | Effective sample size | BAYES | Default |
| FitStatistics | Fit statistics | BAYES | Default |
| Gelman | Gelman and Rubin convergence diagnostics | BAYES | DIAG=GELMAN |
| Geweke | Geweke convergence diagnostics | BAYES | Default |
| Heidelberger | Heidelberger and Welch convergence diagnostics | BAYES | DIAG=HEIDELBERGER |
| InitialValues | Initial values of the Markov chains | BAYES | Default |
| IterParms | Iteration history for parameter estimates | MODEL | ITPRINT |
| LastGradHess | Last evaluation of the gradient and Hessian for maximum likelihood estimation | MODEL | ITPRINT |
| MCSE | Monte Carlo standard errors | BAYES | DIAG=MCSE |
| ModelInfo | Model information | PROC | Default |
| NObs | Number of observations | Default | |
| ParameterEstimates | Maximum likelihood estimates of model parameters | MODEL | Default |
| ParmInfo | Parameter indices | MODEL | Default |
| ParmPrior | Prior distribution for scale and shape | BAYES | Default |
| PostIntervals | HPD and equal-tail intervals of the posterior samples | BAYES | Default |
| PosteriorSample | Posterior samples (for ODS output data set only) | BAYES | |
| PostSummaries | Summary statistics of the posterior samples | BAYES | Default |
| Raftery | Raftery and Lewis convergence diagnostics | BAYES | DIAG=RAFTERY |
Table 15: ODS Tables Produced in PROC GENMOD for an Exact Analysis
| ODS Table Name | Description | Statement | Option |
|---|---|---|---|
| ExactParmEst | Parameter estimates | EXACT | ESTIMATE, ESTIMATE=PARM, ESTIMATE=BOTH |
| ExactTests | Conditional exact tests | EXACT | Default |
| ExpExactParmEst | Exact odds ratios | EXACT | ESTIMATE=ODDS, ESTIMATE=BOTH |
| NStrataIgnored | Number of uninformative strata | STRATA | Default |
| StrataSummary | Number of strata with specific response frequencies | STRATA | Default |
| StrataInfo | Event and nonevent frequencies for each stratum | STRATA | INFO |
| SuffStats | Sufficient statistics | EXACT | OUTDIST= |