Table 3 Comparison of the PR of the models with robust variance and the logistic regression model, for the 5 outcomes, adjusting by numerical age
Model | Cocaine consumption | Marijuana consumption | Cigarettes consumption | Alcohol consumption | Risk of consumption of psychoactive substances | |
|---|---|---|---|---|---|---|
Robust Negative Log-Binomial regression | PR IC 95% See | 2.789 (0.873,17.003) 0,7152 | 3.381 (1.890,6.836) 0.3150 | 2.168 (1.468,3.342) 0.1915 | 1.245 (1.050,1.478) 0.0361 | 1.087 (0.931,1.270) 0.0186 |
Robust Log Poisson – Cox | PR IC 95% See | 2.788 (0.879,16.949) 0,7152 | 3.371 (1.906,6.767) 0.3156 | 2.186 (1.512,3.313) 0.1900 | 1.244 (1.094,1.422) 0.0361 | 1.087 (0.972,1.219) 0.0186 |
Robust log-binomial regression | PR IC 95% See | 2.787 (0.885,16.894) 0.7152 | 3.361 (1.921,6.694) 0.3164 | 2.208 (1.563,3.287) 0.1879 | 1.245 (1.159,1.337) 0.0452 | No converge |
Unconditional binomial logistic regression | OR IC 95% See | 2.831 (0.690,11.538) 0.719 | 3.624 (1.917,6.848) 0.325 | 2.513 (1.664,3.794) 0.210 | 2.830 (2.212,3.620) 0.126 | 3.495 (2.430,5.027) 0.185 |
Robust Unconditional binomial logistic regression | OR IC 95% See | 2.965 (0.723,12.155) 0.720 | 3.702 (1.956,7.007) 0.326 | 2.536 (1.672,3.848) 0.213 | 2.810 (2.199,3.589) 0.125 | 3.462 (2.421,4.951) 0.183 |