The PHREG Procedure
ESTIMATE Statement
ESTIMATE <'label'> estimate-specification <(divisor=n)><, <'label'> estimate-specification <(divisor=n)>> <, …> </ options>;
The ESTIMATE statement provides a mechanism for obtaining custom hypothesis tests. Estimates are formed as linear estimable functions of the form 
. You can perform hypothesis tests for the estimable functions, construct confidence limits, and obtain specific nonlinear transformations.
Table 5 summarizes options available in the ESTIMATE statement. If the BAYES statement is specified, the ADJUST=, STEPDOWN, TESTVALUE, LOWER, UPPER, and JOINT options are ignored. The PLOTS= option is not available for the maximum likelihood analysis. It is available only for the Bayesian analysis.
Table 5: ESTIMATE Statement Options
| Option | Description |
|---|---|
| Construction and Computation of Estimable Functions | |
| DIVISOR= | Specifies a list of values to divide the coefficients |
| NOFILL | Suppresses the automatic fill-in of coefficients for higher-order effects |
| SINGULAR= | Tunes the estimability checking difference |
| Degrees of Freedom and p-Values | |
| ADJUST= | Determines the method of multiple comparison adjustment of estimates |
ALPHA= |
Determines the confidence level ( ) |
| LOWER | Performs one-sided, lower-tailed inference |
| STEPDOWN | Adjusts multiplicity-corrected p-values further in a step-down fashion |
| TESTVALUE= | Specifies values under the null hypothesis for tests |
| UPPER | Performs one-sided, upper-tailed inference |
| Statistical Output | |
| CL | Constructs confidence limits |
| CORR | Displays the correlation matrix of estimates |
| COV | Displays the covariance matrix of estimates |
| E | Prints the  matrix |
| JOINT | Produces a joint F or chi-square test for the estimable functions |
| PLOTS= | Produces ODS statistical graphics if the analysis is sampling-based |
| SEED= | Specifies the seed for computations that depend on random numbers |
| Generalized Linear Modeling | |
| CATEGORY= | Specifies how to construct estimable functions for multinomial data |
| EXP | Exponentiates and displays estimates |
| ILINK | Computes and displays estimates and standard errors on the inverse linked scale |
For details about the syntax of the ESTIMATE statement, see the section ESTIMATE Statement in Chapter 20, Shared Concepts and Topics.