CI 95% | ||||
---|---|---|---|---|
Estimator | Standard error estimation | Lower limit | Upper limit | |
Lifetime cocaine consumption prevalence (prevalence = 1.8%) | ||||
PR Crude | 3.294 | 0,7126 | 0.815 | 13.316 |
PR Negative Log-Binomial model | 3.294 | 0.7168 | 0.809 | 13.424 |
PR Robust Negative Log-Binomial model | 3.294 | 0.7126 | 0.815 | 13.316 |
OR Crude – logistic regression binary | 3.337 | 0.717 | 0.819 | 13.600 |
Marijuana consumption prevalence (prevalence = 9.6%) | ||||
PR Crude | 3.493 | 0,2999 | 1.940 | 6.287 |
PR Negative Log-Binomial model | 3.493 | 0.3091 | 1.906 | 6.401 |
PR Robust Negative Log-Binomial model | 3.493 | 0.2999 | 1.940 | 6.287 |
OR Crude – logistic regression binary | 3.771 | 0.309 | 2.057 | 6.913 |
Cigarette consumption prevalence (prevalence = 21.3%) | ||||
PR Crude | 2.593 | 0.1897 | 1.788 | 3.760 |
PR Negative Log-Binomial model | 2.593 | 0.2073 | 1.727 | 3.893 |
PR Robust Negative Log-Binomial Model | 2.593 | 0.1897 | 1.788 | 3.760 |
OR Crude -logistic regression binary | 3.045 | 0.208 | 2.025 | 4.579 |
Lifetime alcohol consumption prevalence,(prevalence = 85.7%) | ||||
PR Crude | 1.255 | 0,0356 | 1.171 | 1.346 |
PR Negative Log-Binomial model | 1.255 | 0.0849 | 1.063 | 1.463 |
PR Robust Negative Log-Binomial model | 1.255 | 0.0356 | 1.171 | 1.346 |
OR Crude – logistic regression binary | 2.940 | 0.121 | 2.319 | 3.729 |
Risk of consumption of psychoactive substances (prevalence = 96.1%) | ||||
PR Crude | 1.086 | 0.0180 | 1.048 | 1.125 |
PR Negative Log-Binomial model | 1.086 | 0.0769 | 0.934 | 1.263 |
PR Robust Negative Log-Binomial model | 1.086 | 0.0180 | 1.048 | 1.125 |
OR Crude – logistic regression binary | 3.560 | 0.180 | 2.501 | 5.068 |