Validation of a Bayesian learning model to predict the risk for cannabis use disorder

A Bayesian learning model to predict the risk for cannabis use disorder

(2022) Rajapaksha Mudalige Dhanushka S. Rajapaksha et al.   DRUG AND ALCOHOL DEPENDENCE

Patterns of recreational cannabis use in Aotearoa-New Zealand and their consequences: evidence to inform voters in the 2020 referendum

(2020) Richie Poulton et al.   JOURNAL OF THE ROYAL SOCIETY OF NEW ZEALAND

Is the Adolescent Brain at Greater Vulnerability to the Effects of Cannabis? A Narrative Review of the Evidence

(2020) Grace Blest-Hopley et al.   Frontiers in Psychiatry

Which adolescents develop persistent substance dependence in adulthood? Using population-representative longitudinal data to inform universal risk assessment

(2015) M. H. Meier et al.   PSYCHOLOGICAL MEDICINE

Risk prediction models: II. External validation, model updating, and impact assessment

(2012) Karel G M Moons et al.   HEART

Worldwide application of prevention science in adolescent health

(2012) Richard F Catalano et al.   LANCET

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

Updating methods improved the performance of a clinical prediction model in new patients

(2007) K.J.M. Janssen et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY