Publications

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
Revision submitted, 2026.
Yuan Bian, Donglin Zeng, Hyun-Joon Yang, Leanne M. Williams, Yuanjia Wang
Dataset Project Dataset 2
Boosting prediction with data missing not at random
Journal of Computational and Graphical Statistics, 35(1): 406-417, 2026.
Yuan Bian, Grace Y. Yi, Wenqing He
Cite Code Dataset Project DOI arXiv
Boosting prediction with data missing not at random
Joint modeling for learning decision-making dynamics in behavioral experiments
The Annals of Applied Statistics, 19(4): 3372-3393, 2025.
Yuan Bian, Xingche Guo, Yuanjia Wang
Cite Dataset Project DOI arXiv
Joint modeling for learning decision-making dynamics in behavioral experiments
Shared hidden‑factor information framework for multiple behavioral tasks
Submitted, 2025.
Yuan Bian, Yuanjia Wang, Xingche Guo
Dataset Project
Boosting methods for interval-censored data with regression and classification
In The 13th International Conference on Learning Representations, 2025.
Yuan Bian, Grace Y. Yi, Wenqing He
Cite Code Dataset Project URI arXiv
Boosting methods for interval-censored data with regression and classification
Empirical investigation of boosting with pseudo-outcome imputation for missing responses
Statistics and Computing, 35: Article 40, 2025.
Yuan Bian, Grace Y. Yi, Wenqing He
Cite Dataset Project DOI
Empirical investigation of boosting with pseudo-outcome imputation for missing responses
Physician effects in critical care: A causal inference approach through propensity weighting with parametric and super learning methods
Journal of Data Science, 23(1): 130-148, 2025.
Yuan Bian, Yu Shi, Hui Guo, Grace Y. Yi, Wenqing He
Cite Code Dataset Project DOI
Physician effects in critical care: A causal inference approach through propensity weighting with parametric and super learning methods
Assessing model misspecification in hypothesis testing with genetic variants for joint models of longitudinal and time-to-event data
Working paper, 2025.
Yuan Bian, Shelley B. Bull
Cite Dataset Project
Assessing model misspecification in hypothesis testing with genetic variants for joint models of longitudinal and time-to-event data
Sample size and power determination for overall SNP effect in joint modeling of longitudinal and time-to-event data
arXiv: 2602.15247, 2025.
Yuan Bian, Shelley B. Bull
Cite Dataset Project arXiv Shiny app
Sample size and power determination for overall SNP effect in joint modeling of longitudinal and time-to-event data
Statistical Inference and Learning with Incomplete Data
PhD thesis, University of Western Ontario, 2024.
Yuan Bian
Cite Project Project URI
Statistical Inference and Learning with Incomplete Data
A unified framework of analyzing missing data and variable selection using regularized likelihood
Computational Statistics and Data Analysis, 194(6): Article 107919, 2024.
Yuan Bian, Grace Y. Yi, Wenqing He
Cite Dataset Project DOI
A unified framework of analyzing missing data and variable selection using regularized likelihood
Personalized physician recommendation for critical care using the TreeSHAP method
In Statistical Society of Canada Annual Meeting, 2022.
Yuan Bian, Hui Guo, Yu Shi
Cite Code Dataset Project DOI
Personalized physician recommendation for critical care using the TreeSHAP method
Is 14-days a sensible quarantine length for COVID-19? Examinations of some associated issues with a case study of COVID-19 incubation times
Statistics in Biosciences, 14(1): 175-190, 2022.
Yasin Khadem Charvadeh, Grace Y. Yi, Yuan Bian, Wenqing He
Cite Dataset Project DOI
Is 14-days a sensible quarantine length for COVID-19? Examinations of some associated issues with a case study of COVID-19 incubation times
COVID-19 incubation and quarantine times: Is a 14-day quarantine period the right quarantine time?
Featured Article in the Statistical Society of Canada Website, 2020.
Yasin Khadem Charvadeh, Yuan Bian, Grace Y. Yi, Wenqing He
Cite Dataset Project DOI
COVID-19 incubation and quarantine times: Is a 14-day quarantine period the right quarantine time?
Hypothesis Testing in Joint Models for Longitudinal and Time-to-Event Outcomes
MSc thesis, University of Toronto, 2020.
Yuan Bian
Cite Dataset Project URI Shiny app
Hypothesis Testing in Joint Models for Longitudinal and Time-to-Event Outcomes
Analysis of prospective longitudinal randomized controlled trial data with missing responses: Application to the doxylamine-pyridoxine trial for nausea and vomiting of pregnancy
Manuscript, 2018.
Yuan Bian, Christopher Meaney, Rahim Moineddin
Cite Dataset Project
Analysis of prospective longitudinal randomized controlled trial data with missing responses: Application to the doxylamine-pyridoxine trial for nausea and vomiting of pregnancy
Predicting titanic passenger survival using machine learning methods
Manuscript, 2018.
Yuan Bian
Dataset Project
Predicting titanic passenger survival using machine learning methods