The MODEL statement identifies the variable to be used as the failure time variable, the optional censoring variable, and
the explanatory effects, including covariates, main effects, and interactions; see the section Specification of Effects in Chapter 45: The GLM Procedure, for more information. A note of caution: specifying the effect T
*A
in the MODEL statement, where T
is the time variable and A
is a CLASS variable, does not make the effect timedependent. You must specify exactly one MODEL statement.
The MODEL statement allows one response variable. In the MODEL statement, the failure time variable precedes the equal sign. This can optionally be followed by an asterisk, the name of the censoring variable, and a list of censoring values (separated by blanks or commas if there is more than one) enclosed in parentheses. If the censoring variable takes on one of these values, the corresponding failure time is considered to be censored. The variables following the equal sign are the explanatory variables (sometimes called independent variables or covariates) for the model.
The censoring variable must be numeric. The failure time variable must contain nonnegative values. Any observation with a negative failure time is excluded from the analysis, as is any observation with a missing value for any of the variables listed in the MODEL statement. See Missing Values for details.
Table 100.6 summarizes the options available in the MODEL statement, which can be specified after a slash (/).
Table 100.6: MODEL Statement Options
Option 
Description 

Specifies for the confidence limits 

Computes confidence limits for regression parameters 

Displays covariance matrix 

Specifies the denominator degrees of freedom 

Displays the Hessian matrix 

Displays the inverse of the Hessian matrix 

Computes confidence limits for the exponentials of the regression parameters 

Computes the ratio of two standard errors for the regression coefficients 

Specifies tolerance for testing singularity 

Specifies the method of handling ties in failure times 

Specifies a variance adjustment factor 

Computes the ratio of two variances for the regression coefficients 