Modeling and Multivariate Methods - SAS

Chapter 3 Fitting Standard Least Squares Models 69
Estimates
The space beneath the Custom Test title bar is an editable area for entering a test name. Use the Custom
Test dialog as follows:
Parameter lists the names of the model parameters. To the right of the list of parameters are columns of
zeros corresponding to these parameters. Click a cell here, and enter a new value corresponding to the
test that you want.
Add Column adds a column of zeros so that you can test jointly several linear functions of the parameters.
Use the Add Column button to add as many columns to the test as you want.
The last line in the Parameter list is labeled =. Enter a constant into this box to test the linear constraint
against. For example, to test the hypothesis β 0 =1, enter a 1 in the = box. In Figure 3.8, the constant is equal
to zero.
When you finish specifying the test, click Done to see the test performed. The results are appended to the
bottom of the dialog.
When the custom test is done, the report lists the test name, the function value of the parameters tested, the
standard error, and other statistics for each test column in the dialog. A joint F-test for all columns shows at
the bottom.
Caution: The test is always done with respect to residual error. If you have random effects in your model,
this test might not be appropriate if you use EMS instead of REML.
Note: If you have a test within a classification effect, consider using the contrast dialog (which tests
hypotheses about the least squares means) instead of a custom test.
Figure 3.8 The Custom Test Dialog and Test Results for Age Variable