The GENMOD Procedure
-
Overview
-
Getting Started
-
SyntaxPROC GENMOD StatementASSESS StatementBAYES StatementBY StatementCLASS StatementCODE StatementCONTRAST StatementDEVIANCE StatementEFFECTPLOT StatementESTIMATE StatementEXACT StatementEXACTOPTIONS StatementFREQ StatementFWDLINK StatementINVLINK StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementOUTPUT StatementProgramming StatementsREPEATED StatementSLICE StatementSTORE StatementSTRATA StatementVARIANCE StatementWEIGHT StatementZEROMODEL Statement
-
DetailsGeneralized Linear Models TheorySpecification of EffectsParameterization Used in PROC GENMODType 1 AnalysisType 3 AnalysisConfidence Intervals for ParametersF StatisticsLagrange Multiplier StatisticsPredicted Values of the MeanResidualsMultinomial ModelsZero-Inflated ModelsTweedie Distribution For Generalized Linear ModelsGeneralized Estimating EquationsAssessment of Models Based on Aggregates of ResidualsCase Deletion Diagnostic StatisticsBayesian AnalysisExact Logistic and Exact Poisson RegressionResponse Level OrderingMissing ValuesDisplayed Output for Classical AnalysisDisplayed Output for Bayesian AnalysisDisplayed Output for Exact AnalysisODS Table NamesODS Graphics
-
ExamplesLogistic RegressionNormal Regression, Log Link Gamma Distribution Applied to Life DataOrdinal Model for Multinomial DataGEE for Binary Data with Logit Link FunctionLog Odds Ratios and the ALR AlgorithmLog-Linear Model for Count DataModel Assessment of Multiple Regression Using Aggregates of ResidualsAssessment of a Marginal Model for Dependent DataBayesian Analysis of a Poisson Regression ModelExact Poisson RegressionTweedie Regression
- References
ODS Graphics
Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in Chapter 21: Statistical Graphics Using ODS.
Before you create graphs, ODS Graphics must be enabled (for example, by specifying the ODS GRAPHICS ON statement). For more information about enabling and disabling ODS Graphics, see the section Enabling and Disabling ODS Graphics in Chapter 21: Statistical Graphics Using ODS.
The overall appearance of graphs is controlled by ODS styles. Styles and other aspects of using ODS Graphics are discussed in the section A Primer on ODS Statistical Graphics in Chapter 21: Statistical Graphics Using ODS.
Some graphs are produced by default; other graphs are produced by using statements and options. You can reference every graph produced through ODS Graphics with a name. The names of the graphs that PROC GENMOD generates are listed in Table 44.15, along with the required statements and options.
ODS Graph Names
PROC GENMOD assigns a name to each graph it creates using ODS. You can use these names to reference the graphs when using ODS. The names are listed in Table 44.15.
To request these graphs, ODS Graphics must be enabled and you must specify the statement and options indicated in Table 44.15.
Table 44.15: Graphs Produced by PROC GENMOD
|
ODS Graph Name |
Description |
Statement |
Option |
|---|---|---|---|
|
ADPanel |
Autocorrelation function and density panel |
BAYES |
PLOTS =(AUTOCORR DENSITY) |
|
AutocorrPanel |
Autocorrelation function panel |
BAYES |
PLOTS = AUTOCORR |
|
AutocorrPlot |
Autocorrelation function plot |
BAYES |
PLOTS (UNPACK)=AUTOCORR |
|
ClusterCooksDPlot |
Cluster Cook’s D by cluster number |
PROC |
PLOTS = |
|
ClusterDFFITPlot |
Cluster DFFIT by cluster number |
PROC |
PLOTS = |
|
ClusterLeveragePlot |
Cluster leverage by cluster number |
PROC |
PLOTS = |
|
CooksDPlot |
Cook’s distance |
PROC |
PLOTS = |
|
CumResidPanel |
Panel of aggregates of residuals |
CRPANEL |
|
|
CumulativeResiduals |
Model assessment based on aggregates of residuals |
Default |
|
|
DevianceResidByXBeta |
Deviance residuals by linear predictor |
PROC |
PLOTS = |
|
DevianceResidualPlot |
Deviance values |
PROC |
PLOTS = |
|
DFBETAByCluster |
Cluster DFBeta by cluster number |
PROC |
PLOTS = |
|
DFBETAPlot |
DFBeta |
PROC |
PLOTS = |
|
DiagnosticPlot |
Panel of residuals, influence, and diagnostic statistics |
PROC MODEL REPEATED |
PLOTS = |
|
LeveragePlot |
Leverage |
PROC |
PLOTS = |
|
LikeResidByXBeta |
Likelihood residuals by linear predictor |
PROC |
PLOTS = |
|
LikeResidualPlot |
Likelihood residuals |
PROC |
PLOTS = |
|
PearsonResidByXBeta |
Pearson residuals by linear predictor |
PROC |
PLOTS = |
|
PearsonResidualPlot |
Pearson residuals |
PROC |
PLOTS = |
|
PredictedByObservation |
Predicted values |
PROC |
PLOTS = |
|
RawResidByXBeta |
Raw residuals by linear predictor |
PROC |
PLOTS = |
|
RawResidualPlot |
Raw residuals |
PROC |
PLOTS = |
|
StdDevianceResidByXBeta |
Standardized deviance residuals by linear predictor |
PROC |
PLOTS = |
|
StdDevianceResidualPlot |
Standardized deviance residuals |
PROC |
PLOTS = |
|
StdDFBETAByCluster |
Standardized cluster DFBeta by cluster number |
PROC |
PLOTS = |
|
StdDFBETAPlot |
Standardized DFBeta |
PROC |
PLOTS = |
|
StdPearsonResidByXBeta |
Standardized Pearson residuals by linear predictor |
PROC |
PLOTS = |
|
StdPearsonResidualPlot |
Standardized Pearson residuals |
PROC |
PLOTS = |
|
TAPanel |
Trace and autocorrelation function panel |
BAYES |
PLOTS =(TRACE AUTOCORR) |
|
TADPanel |
Trace, autocorrelation, and density function panel |
BAYES |
Default |
|
TDPanel |
Trace and density panel |
BAYES |
PLOTS =(TRACE DENSITY) |
|
TracePanel |
Trace panel |
BAYES |
PLOTS =TRACE |
|
TracePlot |
Trace plot |
BAYES |
PLOTS (UNPACK)=TRACE |
|
ZeroInflationProbPlot |
Zero-inflation probabilities |
PROC |
PLOTS = |