Modeling and Multivariate Methods - SAS

438 Performing Choice Modeling Chapter 16
Logistic Regression for Matched Case-Control Studies
Figure 16.51 Parameter Estimate for Travel Time of Daganzo Data from One-Table Analysis
Notice that the result is identical to that obtained for the two-table model, shown earlier in Figure 16.47.
This chapter illustrates the use of the Choice Modeling platform with simple examples. This platform can
also be used for more complex models, such as those involving more complicated transformations and
interaction terms.
Logistic Regression for Matched Case-Control Studies
This section provides an example using the Choice platform to perform logistic regression on the results of a
1-1 matched-case control study. The data are from Hosmer and Lemeshow (2000). The purpose of the
study is to identify risk factors associated with giving birth to a low birth weight baby ( Modeling > Choice.
3. Select the Select Data Table button.
4. Select Low Birth Weight as the profile data table.
5. Assign Low Birth Weight to the Profile ID role.
6. Assign Pair to the Grouping role.
7. Add the following columns as model effects: Weight of Mother, Race, Smoke During Pregnancy,
History of Premature Labor, History of Hypertension, Uterine Irritability.
8. Deselect the Firth Bias-Adjusted Estimates checkbox.
9. Select Run Model.
10. When you are asked if this is a one-table analysis, answer Yes.
11. On the Choice Model red-triangle menu, select Profiler.
The report is shown in Figure 16.52.