CNTSELECT Procedure

Missing Values

Any observations in the input data table that have a missing value for one or more of the regressors are ignored by PROC CNTSELECT and not used in the model fit. PROC CNTSELECT rounds any positive noninteger count values to the nearest integer and ignores any observations that have a negative count.

If the input data table contains any observations that have missing response values but nonmissing regressors, PROC CNTSELECT can compute several statistics and store them in an output data table by using the OUTPUT statement. For example, you can request that the output data table contain the estimates of bold x prime Subscript i Baseline bold-italic beta, the expected value of the response variable, and the probability that the response variable will take the current value. Furthermore, if a zero-inflated model was fit, you can request that the output data table contain the estimates of bold z prime Subscript i Baseline bold-italic gamma, and the probability that the response is 0 as a result of the zero-generating process. Note that the presence of such observations (that have missing response values) does not affect the model fit.

Last updated: July 09, 2026