Modeling and Multivariate Methods - SAS

Chapter 15 Performing Categorical Response Analysis 397
Categorical Reports
This test can also be done by the Pareto platform, as well as in the Generalized Linear Model personality
of the Fit Model platform.
As an example, open Failure3Freq.jmp found in the Quality Control folder located in the sample data. We
want to compare the samples across the clean treatment variable, so launch the Categorical platform and
assign all the defect columns as Response Frequencies, with clean as an X, Grouping variable and
SampleSize as Sample Size. Click OK. Select Test Each Response from the platform menu.
Relative Risk
For which defects are the rates significantly different across the clean treatments? The p-values show that
oxide defect is the most significantly different, followed by contamination, then doping. The other defects
are not significantly different with this amount of data.
The Relative Risk option is used to compute relative risks for different responses. The risk of responses is
computed for each level of the X, Grouping variable. The risks are compared to get a relative risk. This
option is available only when the Unique occurences within ID box is checked on the platform launch
window.
A common application of this analysis is when the responses represent adverse events (side effects), and the
X variable represents a treatment (drug vs. placebo). The risk for getting each side effects is computed for
both the drug and placebo. The relative risk is the ratio of the two risks.
Conditional Association
The Conditional Association option is used to compute the conditional probability of one response given
a different response. A table and color map of the conditional probabilities are given. This option is available
only when the Unique occurences within ID box is checked on the platform launch window.