This section provides an example using the Choice platform to perform logistic regression on the results of a study of endometrial cancer with 63 matched pairs. The data are from the Los Angeles Study of the Endometrial Cancer Data reported in Breslow and Day (1980). The goal of the case-control analysis was to determine the relative risk for gallbladder disease, controlling for the effect of hypertension. The Outcome of 1 indicates the presence of endometrial cancer, and 0 indicates the control. Gallbladder and Hypertension data indicators are also 0 or 1.
For details about performing logistic regression using the Choice platform, see Logistic Regression.
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Select Analyze > Consumer Research > Choice.
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Check that the Data Format selected is One-Table, Stacked.
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Click the Select Data Table button.
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Deselect the Firth Bias-Adjusted Estimates check box.
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Click Run Model.
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Click the Choice Model red triangle and select Utility Profiler.
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Figure 5.42 Logistic Regression on Endometrial Cancer Data
Likelihood Ratio tests are given for each factor. Note that Gallbladder is nearly significant at the 0.05 level (p-value = 0.0532). Use the Utility Profiler to visualize the impact of the factors on the response.