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• SAS/STAT Procedures A-Z

The GENMOD Procedure

• fits generalized linear models
• fits models to correlated responses by the GEE method
• perform Bayesian analysis for generalized linear models
• provides the following built-in link functions:
  • identity
  • logit
  • probit
  • power
  • log
  • complementary log-log
• provides the following built-in distributions and associated variance functions:
  • normal
  • binomial
  • Poisson
  • gamma
  • inverse Gaussian
  • negative binomial
  • geometric
  • multinomial
  • zero-inflated Poisson
• performs exact logistic regression
• performs exact Poisson regression
• enables you to define your own link functions or distributions through DATA step programming statements used within the procedure
• enables you to fit a sequence of models and to perform Type I and Type III analyses between each successive pair of models
• computes likelihood ratio statistics for user-defined contrasts
• computes estimated values, standard errors, and confidence limits for user-defined contrasts and least squares means
• computes confidence intervals for model parameters based on either the profile likelihood function or asymptotic normality
• obtain separate analyses on observations in groups
• uses ODS to create SAS data sets corresponding to most output tables
• supports ODS Graphics

For further details see the SAS/STAT User's Guide: The GENMOD Procedure
( PDF | HTML )

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

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