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 16.9 summarizes the options available in the ESTIMATE statement.
Table 16.9: 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 for 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 |
SEED= |
Specifies the seed for computations that depend on random numbers |
For details about the syntax of the ESTIMATE statement, see the section ESTIMATE Statement in SAS/STAT 13.2 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 13.2 User's Guide.