The GENMOD Procedure
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Overview
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Getting Started
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Syntax
PROC GENMOD Statement ASSESS Statement BAYES Statement BY Statement CLASS Statement CONTRAST Statement DEVIANCE Statement EFFECTPLOT Statement ESTIMATE Statement EXACT Statement EXACTOPTIONS Statement FREQ Statement FWDLINK Statement INVLINK Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement OUTPUT Statement Programming Statements REPEATED Statement SLICE Statement STORE Statement STRATA Statement VARIANCE Statement WEIGHT Statement ZEROMODEL Statement
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Details
Generalized Linear Models Theory Specification of Effects Parameterization Used in PROC GENMOD Type 1 Analysis Type 3 Analysis Confidence Intervals for Parameters F Statistics Lagrange Multiplier Statistics Predicted Values of the Mean Residuals Multinomial Models Zero-Inflated Models Generalized Estimating Equations Assessment of Models Based on Aggregates of Residuals Case Deletion Diagnostic Statistics Bayesian Analysis Exact Logistic and Exact Poisson Regression Missing Values Displayed Output for Classical Analysis Displayed Output for Bayesian Analysis Displayed Output for Exact Analysis ODS Table Names ODS Graphics
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Examples
Logistic Regression Normal Regression, Log Link Gamma Distribution Applied to Life Data Ordinal Model for Multinomial Data GEE for Binary Data with Logit Link Function Log Odds Ratios and the ALR Algorithm Log-Linear Model for Count Data Model Assessment of Multiple Regression Using Aggregates of Residuals Assessment of a Marginal Model for Dependent Data Bayesian Analysis of a Poisson Regression Model Exact Poisson 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, with 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 39.11, 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 39.11.
To request these graphs, ODS Graphics must be enabled and you must specify the statement and options indicated in Table 39.11.
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 |
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ClusterDFFITPlot |
Cluster DFFIT by cluster number |
PROC |
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ClusterLeveragePlot |
Cluster leverage by cluster number |
PROC |
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CooksDPlot |
Cook’s distance |
PROC |
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CumResidPanel |
Panel of aggregates of residuals |
CRPANEL |
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CumulativeResiduals |
Model assessment based on aggregates of residuals |
Default |
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DevianceResidByXBeta |
Deviance residuals by linear predictor |
PROC |
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DevianceResidualPlot |
Deviance values |
PROC |
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DFBETAByCluster |
Cluster DFBeta by cluster number |
PROC |
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DFBETAPlot |
DFBeta |
PROC |
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DiagnosticPlot |
Panel of residuals, influence, and diagnostic statistics |
PROC MODEL REPEATED |
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LeveragePlot |
Leverage |
PROC |
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LikeResidByXBeta |
Likelihood residuals by linear predictor |
PROC |
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LikeResidualPlot |
Likelihood residuals |
PROC |
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PearsonResidByXBeta |
Pearson residuals by linear predictor |
PROC |
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PearsonResidualPlot |
Pearson residuals |
PROC |
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PredictedByObservation |
Predicted values |
PROC |
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RawResidByXBeta |
Raw residuals by linear predictor |
PROC |
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RawResidualPlot |
Raw residuals |
PROC |
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StdDevianceResidByXBeta |
Standardized deviance residuals by linear predictor |
PROC |
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StdDevianceResidualPlot |
Standardized deviance residuals |
PROC |
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StdDFBETAByCluster |
Standardized cluster DFBeta by cluster number |
PROC |
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StdDFBETAPlot |
Standardized DFBeta |
PROC |
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StdPearsonResidByXBeta |
Standardized Pearson residuals by linear predictor |
PROC |
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StdPearsonResidualPlot |
Standardized Pearson residuals |
PROC |
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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 |