Publications

Integrative learning of individualized treatment rules from multiple studies with overlapping treatments
Submitted, 2025.
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, In press, 2025.
Yuan Bian, Grace Y. Yi, Wenqing He
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Boosting prediction with data missing not at random
Joint modeling for learning decision-making dynamics in behavioral experiments
Revision submitted, 2025.
Yuan Bian, Xingche Guo, Yuanjia Wang
Dataset Project arXiv
Shared hidden‑factor identification framework for multiple cognitive tasks
In preparation, 2025.
Yuan Bian, Xingche Guo, Yuanjia Wang
Project
Boosting methods for interval censored data with regression and classification
In The Thirteenth International Conference on Learning Representations, 2025.
Yuan Bian, Grace Y. Yi, Wenqing He
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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
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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
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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
In preparation, 2025.
Yuan Bian, Shelley B. Bull
Dataset Project
Sample size and power determination for overall SNP effect in joint modeling of longitudinal and time-to-event data
To be submitted shortly, 2025.
Yuan Bian, Shelley B. Bull
Dataset Project Shiny app
Statistical inference and learning with incomplete data
PhD thesis, University of Western Ontario, 2024.
Yuan Bian
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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
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A unified framework of analyzing missing data and variable selection using regularized likelihood
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
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Is 14-days a sensible quarantine length for COVID-19? Examinations of some associated issues with a case study of COVID-19 incubation times
Incubation and quarantine times: Is 14 days the right quarantine time?
Featured Article in the Statistical Society of Canada Website, 2020.
Yasin Khadem Charvadeh, Yuan Bian, Grace Y. Yi, Wenqing He
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Incubation and quarantine times: Is 14 days the right quarantine time?
Hypothesis testing in joint models for longitudinal and time-to-event outcomes
MSc thesis, University of Toronto, 2020.
Yuan Bian
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Hypothesis testing in joint models for longitudinal and time-to-event outcomes
Analysis of the prospective longitudinal randomized controlled trials data with missing response
Manuscript, 2018.
Yuan Bian, Christopher Meaney, Rahim Moineddin
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Analysis of the prospective longitudinal randomized controlled trials data with missing response