Objective: Confirm statistical significance of changing trends in marijuana depenence among heavy users.
Study Population: Daily/Near-Daily marijuana users, according to self-report from the National Survey on Drug Use and Health (2012-2016).
Interventions: none were used, as this paper is based on secondary data analysis.
Methods: Plotting time trends, regressions.
Statistical Analysis:
+ quasibinomial regression using R's survey::svyglm from the survey package. Analysis was performed in RStudio. This predicted self-reported dependence based on a DND user's race, gender, age, and educational attainment. The regression was weighted for NSDUH survey weights.
+ Another quasibinomial regression, this time predicting self-report of a DSM-IV symptom instead of the diagnosis itself.
Ethical Considerations: As this used a de-anonymized public dataset, no ethical considerations were identified.
Dissemination Plans: This study was submitted to Drug and Alcohol Dependence as a 2000 word piece.