Evidence map›Paper›PMID 42414234›Full record

ArticleStatistics in medicine2026

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

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rajapaksha Mudalige Dhanushka S RajapakshaDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Tingfang WangDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Thanthirige Lakshika M RuberuDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Joseph M BodenDepartment of Psychological Medicine, University of Otago, Christchurch, New Zealand.
Pankaj K ChoudharyDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Swati BiswasDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.ORCID https://orcid.org/0000-0001-7758-4460

Funding

University of Texas at Dallas SPIRe
6 · The paper itself

Abstract

Substance use disorders (SUDs) are a serious public health concern in the United States. Alcohol and cannabis are two of the most widely used substances. For adolescent/youth users of alcohol or cannabis, we propose a joint Bayesian learning model to predict their risks of developing alcohol use disorder (AUD) and cannabis use disorder (CUD) in adulthood based on their personal risk factors. The model is trained on nationally representative longitudinal data from Add Health (

Indexed as

AlcoholismMarijuana AbuseAdolescentBayes TheoremFemaleHumansLongitudinal StudiesMaleModels, StatisticalPrediction AlgorithmsPredictive Learning ModelsRisk AssessmentRisk FactorsROC CurveUnited StatesAdd HealthChristchurch Health and Development Studylogistic regressionrandom effectsrisk predictionsubstance use disorders

Identifiers

PMID42414234
PMCPMC13349390

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.