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
| EFFECTPLOT Statement |
- EFFECTPLOT <plot-type <(plot-definition-options)>> </ options> ;
The EFFECTPLOT statement produces a display of the fitted model and provides options for changing and enhancing the displays. Table 39.2 describes the available plot-types and their plot-definition-options.
Plot-Type and Description |
Plot-Definition-Options |
|---|---|
Displays a box plot of continuous response data at each level of a CLASS effect, with predicted values superimposed and connected by a line. This is an alternative to the INTERACTION plot-type. |
PLOTBY= variable or CLASS effect |
Displays a contour plot of predicted values against two continuous covariates. |
PLOTBY= variable or CLASS effect |
Displays a curve of predicted values versus a continuous variable. |
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Displays a plot of predicted values (possibly with error bars) versus the levels of a CLASS effect. The predicted values are connected with lines and can be grouped by the levels of another CLASS effect. |
PLOTBY= variable or CLASS effect |
Displays a curve of predicted values versus a continuous variable grouped by the levels of a CLASS effect. |
PLOTBY= variable or CLASS effect |
For full details about the syntax and options of the EFFECTPLOT statement, see the section EFFECTPLOT Statement of Chapter 19, Shared Concepts and Topics.