Modeling and Multivariate Methods - SAS

172 Fitting Multiple Response Models Chapter 5
Example of a Compound Multivariate Model
Figure 5.10 Treatment Graph
In the treatment graph, you can see that the four treatment groups began the study with very similar mean
cholesterol values. The A and B treatment groups appear to have lower cholesterol values at the end of the
trial period. The control and placebo groups remain unchanged.
7. Click on the Choose Response menu and select Compound.
Complete this window to tell JMP how the responses are arranged in the data table and the number of levels
of each response. In the cholesterol example, the time of day columns are arranged within month.
Therefore, you name time of day as one factor and the month effect as the other factor. Testing the
interaction effect is optional.
8. Use the options in Figure 5.11 to complete the window.
Figure 5.11 Compound Window
9. Click OK.
The tests for each effect appear. Parts of the report are shown in Figure 5.12. Note the following:
• With a p-value of 0.6038, the interaction between Time and treatment is not significant. This means
that there is no difference in treatment between AM and PM. Since Time has two levels (AM and PM)
the exact f-test appears.
• With p-values of