Multiple logistic regression results predicting medical use of cannabis
| Predictors | OR | 95% CI | p |
|---|---|---|---|
| (Intercept) | 1.57 | 0.18–14.30 | 0.685 |
| Age | 1.86 | 1.49–2.37 | <0.001 |
| Gender (female) | 3.23 | 1.60–6.68 | 0.001 |
| Education | 0.97 | 0.60–1.55 | 0.895 |
| City size | 0.65 | 0.46–0.89 | 0.009 |
| Onset age | 0.85 | 0.75–0.95 | 0.008 |
| Monthly usage | 0.95 | 0.71–1.25 | 0.696 |
| Amount of usage | 1.00 | 0.91–1.09 | 0.951 |
| Observations | 237 | ||
| R2 Tjur (0.170) | MCFadden’s R2 (0.144) | ||
| Predictors | OR | 95% CI | |
|---|---|---|---|
| (Intercept) | 1.57 | 0.18–14.30 | 0.685 |
| Age | 1.86 | 1.49–2.37 | |
| Gender (female) | 3.23 | 1.60–6.68 | |
| Education | 0.97 | 0.60–1.55 | 0.895 |
| City size | 0.65 | 0.46–0.89 | |
| Onset age | 0.85 | 0.75–0.95 | |
| Monthly usage | 0.95 | 0.71–1.25 | 0.696 |
| Amount of usage | 1.00 | 0.91–1.09 | 0.951 |
| 237 | |||
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