| Logistic Regression Model for Probability of Remaining in the Study |
| Clinical Trial of Contracepting Women |
| Model Information | |
|---|---|
| Data Set | WORK.CONTRACEP |
| Distribution | Binomial |
| Link Function | Logit |
| Dependent Variable | r |
| Number of Observations Read | 2902 |
|---|---|
| Number of Observations Used | 2902 |
| Number of Events | 2465 |
| Number of Trials | 2902 |
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| time | 1 | 0 | 0 |
| 2 | 1 | 0 | |
| 3 | 0 | 1 | |
| Response Profile | ||
|---|---|---|
| Ordered Value |
r | Total Frequency |
| 1 | 1 | 2465 |
| 2 | 0 | 437 |
| Criteria For Assessing Goodness Of Fit | |||
|---|---|---|---|
| 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 | ||||||||
|---|---|---|---|---|---|---|---|---|
| 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. |