My main research interest is Bayesian network meta-analysis and component network meta-analysis. I am also involved in multiple research projects related to methane emissions from the oil and gas industry including characterising measurement uncertainty of emerging methane detection technologies and the use of survey data to estimate methane emissions inventories. I am also interested in other applications of hierarchical Bayesian modelling and computational Bayesian methods.

Publication

Augustine Wigle and Audrey Béliveau (2022). Bayesian unanchored additive models for component network meta-analysis. Statistics in Medicine, 41(22):4444-4466.

Software

I am involved in the maintenance and development of the BUGSnet R package, which conducts Bayesian network meta-analysis and facilitates compliance with best practices for reporting.

Presentations

• JSM (August 9, 2022). Bayesian unanchored additive models for component network meta-analysis (Winner of the ASA Health Policy Statistics Section student paper competition).
• ISBA World Meeting (June 30, 2022). Bayesian unanchored additive models for component network meta-analysis (poster).
• Statistical Society of Canada Meeting (June 10 2021). Investigating the additivity assumption in component network meta-analysis.
• Bayesian Club Meeting (October 7 2020). Error sources in Bayesian network meta-analysis with small sample sizes.
• Bayesian Club Meeting (September 30, 2020). Network meta-analysis with approximate and exact Bayesian methods.