ESTIMATE Statement 
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 87.3 summarizes important options in the ESTIMATE statement.
Option 
Description 

Construction and Computation of Estimable Functions 

Specifies a list of values to divide the coefficients 

Suppresses the automatic fillin of coefficients for higherorder effects 

Tunes the estimability checking difference 

Degrees of Freedom and pvalues 

Determines the method for multiple comparison adjustment of estimates 

Determines the confidence level () 

Performs onesided, lowertailed inference 

Adjusts multiplicitycorrected pvalues further in a stepdown fashion 

Specifies values under the null hypothesis for tests 

Performs onesided, uppertailed inference 

Statistical Output 

Constructs confidence limits 

Displays the correlation matrix of estimates 

Displays the covariance matrix of estimates 

Prints the matrix 

Produces a joint or chisquare test for the estimable functions 

Specifies the seed for computations that depend on random numbers 

Generalized Linear Modeling 

Specifies how to construct estimable functions with multinomial data 

Exponentiates and displays estimates 

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 of Chapter 19, Shared Concepts and Topics.