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The GENMOD Procedure
Overview
What Is a Generalized Linear Model?
Examples of Generalized Linear Models
The GENMOD Procedure
Getting Started
Poisson Regression
Bayesian Analysis of a Linear Regression Model
Generalized Estimating Equations
Syntax
PROC GENMOD Statement
ASSESS Statement
BAYES Statement
BY Statement
CLASS Statement
CODE 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
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
Tweedie Distribution For Generalized Linear 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
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
Tweedie Regression
References
Details: GENMOD Procedure
Subsections:
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
Tweedie Distribution For Generalized Linear 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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