%0 Journal Article
%D Submitted
%T Precision of Treatment Hierarchy: A Metric for Quantifying Certainty in Treatment Hierarchies from Network Meta-Analysis
%A Wigle, A
%A Béliveau, A
%A Salanti, G
%A Rücker, G
%A Schwarzer, G
%A Mavridis, D
%A Nikolakopoulou, A
%G eng
%U https://arxiv.org/abs/2501.11596

%0 Journal Article
%J Journal of the Royal Statistical Society Series A
%D Accepted
%T Estimating Methane Emissions from the Upstream Oil and Gas Industry Using a Multi-Stage Framework
%A Wigle, Augustine
%A Béliveau, Audrey
%B Journal of the Royal Statistical Society Series A
%G eng
%U http://arxiv.org/abs/2407.08827

%0 Journal Article
%J Epidemiology
%D 2025
%T Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures
%A Yiran Wang
%A Martin Lysy
%A Audrey Béliveau
%B Epidemiology
%V 36
%P 319-326
%G eng
%N 3

%0 Journal Article
%J ACS ES&T Air
%D 2024
%T Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach.
%A Augustine Wigle
%A Audrey Béliveau
%A Daniel Blackmore
%A Paule Lapeyre
%A Kirk Osadetz
%A Christiane Lemieux
%A Kyle J Daun
%B ACS ES&T Air
%V 1
%P 1000-1014
%G eng
%N 9

%0 Report
%D 2024
%T Evaluation of Emission Quantification Technologies: Final Report
%A Kyle J Daun
%A Christiane Lemieux
%A Audrey Béliveau
%A Daniel Blackmore
%A Nishant Narayanan
%A Augustine Wigle
%A Kevin Fritz
%A Kirk Osadetz
%7 Prepared for: Petroleum Technology Alliance Canada and Clean Resources Innovation Network
%P 1-76
%G eng

%0 Journal Article
%J Statistics in Medicine
%D 2024
%T Generalized Fused Lasso for Treatment Pooling in Network Meta-Analysis
%A Kong, Xiangshan
%A Daly, Caitlin H.
%A Béliveau, Audrey
%B Statistics in Medicine
%V 43
%P 5635-5649
%G eng
%N 30

%0 Conference Proceedings
%D 2023
%T Generalized Fused Lasso for Treatment Pooling in Network Meta-Analysis
%A Kong, Xiangshan
%A Béliveau, Audrey
%I Joint Statistical Meetings Proceedings
%G eng
%U https://doi.org/10.5281/zenodo.8435663

%0 Journal Article
%J Multivariate Behavioral Research
%D 2023
%T A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package
%A Y Liu
%A A Béliveau
%A Y Wei
%A M.Y Chen
%A R Record-Lemon
%A P.L Kuo
%A E. Pritchard
%A X. Tang
%A G. Chen
%B Multivariate Behavioral Research
%V 58
%P 706-722
%G eng
%N 4

%0 Journal Article
%J Statistics in Medicine
%D 2022
%T Bayesian Unanchored Additive Models for Component Network Meta-Analysis
%A Wigle, A.
%A Béliveau, A.
%B Statistics in Medicine
%V 21
%P 4444-4466
%G eng
%N 22

%0 Journal Article
%J Frontiers in Education, section Assessment, Testing and Applied Measurement
%D 2021
%T Bayesian Mixed Effects Model and Data Visualization for Understanding Item Response Time and Response Order in Open Online Assessment
%A Yan Liu
%A Audrey Béliveau
%A Henrike Besche
%A Amery D. Wu
%A Xingyu Zhang
%A Melanie Stefan
%A Johanna Gutlerner
%A Chanmin Kim
%B Frontiers in Education, section Assessment, Testing and Applied Measurement
%V 5:607260
%G eng

%0 Journal Article
%J Bayesian Analysis
%D 2021
%T A Theoretical Investigation of How Evidence Flows in Bayesian Network Meta-Analysis of Disconnected Networks
%A Béliveau, Audrey
%A Gustafson, Paul
%B Bayesian Analysis
%V 16
%P 803-823
%G eng
%N 3

%0 Journal Article
%J BMC Medical Research Methodology
%D 2019
%T BUGSnet: An R Package to Facilitate the Conduct and Reporting of Bayesian Network Meta-Analyses
%A Audrey Béliveau
%A Devon Boyne
%A Justin Slater
%A Darren Brenner
%A Paul Arora
%B BMC Medical Research Methodology
%V 19:196
%G eng

%0 Journal Article
%J Journal of Clinical Epidemiology
%D 2019
%T Characteristics and methods of incorporating randomized and nonrandomized evidence in network meta-analyses: a scoping review
%A Kathryn Zhang
%A Paul Arora
%A Neha Sati
%A Audrey Béliveau
%A Natalie Troke
%A Areti Angeliki Veroniki
%A Myanca Rodrigues
%A Patricia Rios
%A Wasifa Zarin
%A Andrea C. Tricco
%B Journal of Clinical Epidemiology
%V 113
%P 1-10
%G eng

%0 Journal Article
%J Medical Decision Making
%D 2019
%T Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method
%A Alind Gupta
%A Justin Slater
%A Devon Boyne
%A Nicholas Mitsakakis
%A Audrey Béliveau
%A Marek Druzdzel
%A Darren Brenner
%A Selena Hussain
%A Paul Arora
%B Medical Decision Making
%V 39
%P 1032-1044
%G eng
%N 8

%0 Conference Proceedings
%B Proceedings of the Joint Statistical Meetings 2018
%D 2018
%T Challenges from Modeling Open Online Assessment Data
%A Yan Liu
%A Henrike Besche
%A Audrey Béliveau
%A Xingyu Zhang
%A Edward Kroc
%A Melanie Stefan
%A Johanna Gutlerner
%A Chanmin Kim
%B Proceedings of the Joint Statistical Meetings 2018
%G eng

%0 Journal Article
%J Ecosystem Health and Sustainability
%D 2017
%T Ancient fish weir technology for modern stewardship: lessons from community-based salmon monitoring
%A William I. Atlas
%A William G. Housty
%A Audrey Béliveau
%A Bryant DeRoy
%A Grant Callegari
%A Mike Reid
%A Jonathan W. Moore
%B Ecosystem Health and Sustainability
%V 3
%G eng
%N 6

%0 Journal Article
%J Research Synthesis Methods
%D 2017
%T Network meta-analysis of disconnected networks: How dangerous are random baseline treatment effects?
%A Audrey Béliveau
%A Sarah Goring
%A Robert W. Platt
%A Paul Gustafson
%B Research Synthesis Methods
%V 8
%P 465-474
%G eng
%N 4

%0 Thesis
%B PhD thesis. Summit: Simon Fraser University research repository
%D 2016
%T Data integration methods for studying animal population dynamics
%A Audrey Béliveau
%B PhD thesis. Summit: Simon Fraser University research repository
%G eng
%U http://summit.sfu.ca/item/16125

%0 Journal Article
%J Biometrics
%D 2015
%T Adjusting for Undercoverage of Access-Points in Creel Surveys with Fewer Overflights
%A Audrey Béliveau
%A Richard A. Lockhart
%A Carl J. Schwarz
%A Steven K. Arndt
%B Biometrics
%V 71
%P 1050–1059
%G eng
%N 4

%0 Journal Article
%J Journal of Survey Statistics and Methodology
%D 2015
%T Clarifying Some Aspects of Variance Estimation in Two-Phase Sampling
%A J-F Beaumont
%A Audrey Béliveau
%A David Haziza
%B Journal of Survey Statistics and Methodology
%V 3
%P 524–542
%G eng
%N 4