Logistic Regression Model for Probability of Remaining in the Study |
Clinical Trial of Contracepting Women |
Model Information | |
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Data Set | WORK.CONTRACEP |
Distribution | Binomial |
Link Function | Logit |
Dependent Variable | r |
Number of Observations Read | 2902 |
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Number of Observations Used | 2902 |
Number of Events | 2465 |
Number of Trials | 2902 |
Class Level Information | |||
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Class | Value | Design Variables | |
time | 1 | 0 | 0 |
2 | 1 | 0 | |
3 | 0 | 1 |
Response Profile | ||
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Ordered Value |
r | Total Frequency |
1 | 1 | 2465 |
2 | 0 | 437 |
Criteria For Assessing Goodness Of Fit | |||
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Criterion | DF | Value | Value/DF |
Log Likelihood | -1206.5443 | ||
Full Log Likelihood | -1206.5443 | ||
AIC (smaller is better) | 2425.0885 | ||
AICC (smaller is better) | 2425.1175 | ||
BIC (smaller is better) | 2460.9274 |
Algorithm converged. |
Analysis Of Maximum Likelihood Parameter Estimates | ||||||||
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Parameter | DF | Estimate | Standard Error | Wald 95% Confidence Limits | Wald Chi-Square | Pr > ChiSq | ||
Intercept | 1 | 1.6681 | 0.1044 | 1.4635 | 1.8727 | 255.43 | <.0001 | |
time | 2 | 1 | 0.1367 | 0.1190 | -0.0965 | 0.3700 | 1.32 | 0.2507 |
time | 3 | 1 | 0.7286 | 0.1439 | 0.4466 | 1.0106 | 25.65 | <.0001 |
dose | 1 | 0.0680 | 0.1313 | -0.1893 | 0.3253 | 0.27 | 0.6046 | |
prevy | 1 | -0.4514 | 0.1619 | -0.7687 | -0.1341 | 7.77 | 0.0053 | |
dose*prevy | 1 | -0.2381 | 0.2196 | -0.6685 | 0.1923 | 1.18 | 0.2782 | |
Scale | 0 | 1.0000 | 0.0000 | 1.0000 | 1.0000 |
Note: | The scale parameter was held fixed. |