MODEL dependent = regressors / options ;

The MODEL statement specifies the dependent variable and independent regressor variables for the regression model. The dependent count variable should take on only nonnegative integer values in the input data set. PROC COUNTREG rounds any positive noninteger count values to the nearest integer. PROC COUNTREG discards any observations with a negative count.

Only one MODEL statement can be specified. The following options can be used in the MODEL statement after a slash (/).

DIST=value, D=value

specifies a type of model to be analyzed. If you specify this option in both the MODEL statement and the PROC COUNTREG statement, then only the value in the MODEL statement is used. The supported model types as follows:

POISSON | P

Poisson regression model

NEGBIN(P=1)

negative binomial regression model with a linear variance function

NEGBIN(P=2) | NEGBIN

negative binomial regression model with a quadratic variance function

ZIPOISSON | ZIP

zero-inflated Poisson regression

ZINEGBIN | ZINB

zero-inflated negative binomial regression

NOINT

suppresses the intercept parameter.

OFFSET=variable

specifies a variable in the input data set to be used as an offset variable. The offset variable appears as a covariate in the model with its parameter restricted to 1. The offset variable cannot be the response variable, the zero-inflation offset variable (if any), or one of the explanatory variables. The Model Fit Summary gives the name of the data set variable used as the offset variable; it is labeled as "Offset."