Publications

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Author Title Type Year(Asc)
Submitted
Wigle, A., Béliveau, A., Salanti, G., Rücker, G., Schwarzer, G., Mavridis, D., & Nikolakopoulou, A.. (Submitted). Precision of Treatment Hierarchy: A Metric for Quantifying Certainty in Treatment Hierarchies from Network Meta-Analysis. Retrieved from https://arxiv.org/abs/2501.11596
Wigle, A., & Béliveau, A.. (Submitted). Estimating Methane Emissions from the Upstream Oil and Gas Industry Using a Multi-Stage Framework. Retrieved from http://arxiv.org/abs/2407.08827
Accepted
Wang, Y., Lysy, M., & Béliveau, A.. (Accepted). Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures. Epidemiology. Retrieved from https://arxiv.org/abs/2403.04058
2024
Kong, X., Daly, C. H., & Béliveau, A.. (2024). Generalized Fused Lasso for Treatment Pooling in Network Meta-Analysis. Statistics in Medicine, 43(30), 5635-5649.
Wigle, A., Béliveau, A., Blackmore, D., Lapeyre, P., Osadetz, K., Lemieux, C., & Daun, K. J.. (2024). Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach. ACS ES&T Air, 1(9), 1000-1014.
Daun, K. J., Lemieux, C., Béliveau, A., Blackmore, D., Narayanan, N., Wigle, A., Fritz, K., et al. (2024). Evaluation of Emission Quantification Technologies: Final Report (Prepared for: Petroleum Technology Alliance Canada and Clean Resources Innovation Network., pp. 1-76).
2023
Kong, X., & Béliveau, A.. (2023). Generalized Fused Lasso for Treatment Pooling in Network Meta-Analysis. Joint Statistical Meetings Proceedings. Retrieved from https://doi.org/10.5281/zenodo.8435663
Liu, Y., Béliveau, A., Wei, Y., Chen, M. Y., Record-Lemon, R., Kuo, P. L., Pritchard, E., et al. (2023). A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package. Multivariate Behavioral Research, 58(4), 706-722.
2022
Wigle, A., & Béliveau, A.. (2022). Bayesian Unanchored Additive Models for Component Network Meta-Analysis. Statistics in Medicine, 21(22), 4444-4466.
2021
Liu, Y., Béliveau, A., Besche, H., Wu, A. D., Zhang, X., Stefan, M., Gutlerner, J., et al. (2021). Bayesian Mixed Effects Model and Data Visualization for Understanding Item Response Time and Response Order in Open Online Assessment. Frontiers in Education, section Assessment, Testing and Applied Measurement, 5:607260.
Béliveau, A., & Gustafson, P.. (2021). A Theoretical Investigation of How Evidence Flows in Bayesian Network Meta-Analysis of Disconnected Networks. Bayesian Analysis, 16(3), 803-823.
2019
Béliveau, A., Boyne, D., Slater, J., Brenner, D., & Arora, P.. (2019). BUGSnet: An R Package to Facilitate the Conduct and Reporting of Bayesian Network Meta-Analyses. BMC Medical Research Methodology, 19:196.
Gupta, A., Slater, J., Boyne, D., Mitsakakis, N., Béliveau, A., Druzdzel, M., Brenner, D., et al. (2019). Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method. Medical Decision Making, 39(8), 1032-1044.
Zhang, K., Arora, P., Sati, N., Béliveau, A., Troke, N., Veroniki, A. Angeliki, Rodrigues, M., et al. (2019). Characteristics and methods of incorporating randomized and nonrandomized evidence in network meta-analyses: a scoping review. Journal of Clinical Epidemiology, 113, 1-10.
2018
Liu, Y., Besche, H., Béliveau, A., Zhang, X., Kroc, E., Stefan, M., Gutlerner, J., et al. (2018). Challenges from Modeling Open Online Assessment Data. Proceedings of the Joint Statistical Meetings 2018.
2017
Atlas, W. I., Housty, W. G., Béliveau, A., DeRoy, B., Callegari, G., Reid, M., & Moore, J. W.. (2017). Ancient fish weir technology for modern stewardship: lessons from community-based salmon monitoring. Ecosystem Health and Sustainability, 3(6).
Béliveau, A., Goring, S., Platt, R. W., & Gustafson, P.. (2017). Network meta-analysis of disconnected networks: How dangerous are random baseline treatment effects?. Research Synthesis Methods, 8(4), 465-474.
2016
Béliveau, A.. (2016). Data integration methods for studying animal population dynamics. PhD thesis. Summit: Simon Fraser University research repository. Retrieved from http://summit.sfu.ca/item/16125
2015
Béliveau, A., Lockhart, R. A., Schwarz, C. J., & Arndt, S. K.. (2015). Adjusting for Undercoverage of Access-Points in Creel Surveys with Fewer Overflights. Biometrics, 71(4), 1050–1059.
Beaumont, J. - F., Béliveau, A., & Haziza, D.. (2015). Clarifying Some Aspects of Variance Estimation in Two-Phase Sampling. Journal of Survey Statistics and Methodology, 3(4), 524–542.