The COUNTREG Procedure
- Overview
- Getting Started
-
Syntax
-
Details
Specification of Regressors Missing Values Poisson Regression Negative Binomial Regression Zero-Inflated Count Regression Overview Zero-Inflated Poisson Regression Zero-Inflated Negative Binomial Regression Computational Resources Nonlinear Optimization Options Covariance Matrix Types Displayed Output OUTPUT OUT= Data Set OUTEST= Data Set ODS Table Names
-
Examples
- References
| OUTPUT OUT= Data Set |
The OUTPUT statement creates a new SAS data set that contains all the variables in the input data set and, optionally, the estimates of 
, the expected value of the response variable, and the probability of the response variable taking on the current value or other values that you specify. In a zero-inflated model you can additionally request that the output data set contain the estimates of 
, and the probability that the response is zero as a result of the zero-generating process.
Except for the probability of the current value, these statistics can be computed for all observations in which the regressors are not missing, even if the response is missing. By adding observations with missing response values to the input data set, you can compute these statistics for new observations or for settings of the regressors not present in the data without affecting the model fit.