A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders

Statistics in Medicine · Published 2026-07-01 · DOI 10.1002/sim.70656

Free full text

Authors (6)

Rajapaksha Mudalige Dhanushka S. Rajapaksha, Tingfang Wang, Thanthirige Lakshika M. Ruberu, Joseph M. Boden, Pankaj K. Choudhary, Swati Biswas

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Rajapaksha, R., Wang, T., Ruberu, T., et al. (2026). A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders. Statistics in Medicine. https://doi.org/10.1002/sim.70656

Related articles

• Choosing Covariate Balancing Methods for Causal Inference: Practical Insights From a Simulation Study · Statistics in Medicine · 2026 · Same journal
• Identifiable Copula‐Double‐Cox Models: A Fully Parametric Framework for Dependent Right‐Censored Survival Data · Statistics in Medicine · 2026 · Same journal
• Covariate Adjustment for Wilcoxon Two Sample Statistic and Test · Statistics in Medicine · 2026 · Same journal
• Semiparametric Panel Count Model, With Applications to Signal Detection in Post‐Market Drug Surveillance Systems · Statistics in Medicine · 2026 · Same journal
• Cluster Trials Inference With CARE · Statistics in Medicine · 2026 · Same journal
• Efficiency Enhancement in Testing Treatment Efficacy Across Multiple Populations Using Treatment Crossover Data · Statistics in Medicine · 2026 · Same journal
• Fast Estimation and Valid Statistical Inference for Mixed‐Effect Location‐Scale Models Using Variational Inference · Statistics in Medicine · 2026 · Same journal
• Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta‐Diversity · Statistics in Medicine · 2026 · Same journal
• Inverse‐Intensity‐Weighted Generalized Estimating Equations With Irregularly Measured Longitudinal Data and Informative Dropout · Statistics in Medicine · 2026 · Same journal
• A Multi‐Stage Drop‐the‐Loser Design With Superiority Boundaries · Statistics in Medicine · 2026 · Same journal