2 citations · 3 across the 2 of their papers we have counts for
4 papers
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 +3
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…
Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk
Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani +1
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of s…
Validation of a Bayesian Learning Model to Predict the Risk for Cannabis Use Disorder
Thanthirige Lakshika M. Ruberu, Rajapaksha Mudalige Dhanushka S. Rajapaksha, Mary M. Heitzeg +4
Background: Cannabis use disorder (CUD) is a growing public health problem. Early identification of adolescents and young adults at risk of developing CUD in the future may help st…
Bayesian Meta-Analysis of Penetrance for Cancer Risk
Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani +1
Multi-gene panel testing allows many cancer susceptibility genes to be tested quickly at a lower cost making such testing accessible to a broader population. Thus, more patients ca…