Preprints:
(Corresponding author* if not the first author)
Ruixuan Zhao, Mats Stensrud, and Linbo Wang*. Causal Inference for All: Marginal Estimands for Outcomes Truncated by Death. [arXiv]
James Peng, Florian Stijven, Linbo Wang, and Peter B. Gilbert. Estimating the Wasserstein barycenter of one-dimensional distributions under sparse sampling. [arXiv]
Mei Dong, Lin Liu, Dingke Tang, Geoffrey Liu, Wei Xu, and Linbo Wang*. Average Treatment Effect Estimation with Non-binary Instrumental Variables. [arXiv]
(winner of SSC General Session Student Research Oral Presentation Award 2025, and IMS Hannan Graduate Student Travel Award 2026)
Xinyi Zhang, Linbo Wang, Stanislav Volgushev, Dehan Kong. Fighting Noise with Noise: Causal Inference with Many Candidate Instruments. [arXiv]
Sonia Markes, Linbo Wang, Jessica Gronsbell, Katherine Evans. Causal effect of the infield shift in the MLB. [arXiv].
Linbo Wang. On the homogeneity of measures for binary associations. [arXiv].
Publications:
(Corresponding author* if not the first author)
Jinyoung Ko, Linbo Wang, Rui Tang, and Seungjae Lee (2027). Does Causality Matter? How Incorporating Cause-and-Effect Relationships Benefits Occupant-Centric Building Control. Applied Energy, 427, 128801.
Linbo Wang, Thomas Richardson, and James Robins (2026). Causal Inference: A Tale of Three Frameworks. Journal of Data Science, 24(1), 53-85. [arXiv][journal] [slides]
Yuexia Zhang, Jian Wang, Jiayi Shen, Jessica Galloway-Pena, Samuel Shelburne, Linbo Wang*, and Jianhua Hu* (2026+). Inverse probability weighting-based mediation analysis for microbiome data. Bioinformatics, to appear. [arXiv]
Peng Wu and Linbo Wang* (2026). A Distributional Perspective on Pearl's Causal Hierarchy: From Marginal to Joint and Individualized Potential Outcomes. Statistical Learning and Data Science, 100031. [arXiv]
Jinyoung Ko, Linbo Wang, and Seungjae Lee (2026). Considering Causality toward Robust Occupant-Centric Control. Proceedings of the 2026 ACM Sustainability Week, 357–360. [PDF] [conference]
Ruixuan Zhao, Xin Liu*, Guowen Huang, and Linbo Wang* (2026+). Discussion on “Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles” by Qingyan Xiang, Paola Sebastiani, Thomas T. Perls, Stacy L. Andersen, Svetlana Ukraintseva, Mikael Thinggaard, and Judith J. Lok. Biometrics, to appear.
Dingke Tang, Dehan Kong, and Linbo Wang* (2026). The synthetic instrument: From sparse association to sparse causation. Journal of the Royal Statistical Society: Series B, 88(4), 1210–1230. [arXiv] [journal] [R package] [OCIS Video] [Slides]
(Winner of ASA Section on Statistics in Epidemiology Early Career Award 2025; ICSA China Junior Researcher Award 2025)
Linbo Wang, Yuexia Zhang, Thomas Richardson, and Xiao-Hua Zhou (2026). Rank-based estimation of propensity score weights via subclassification. Canadian Journal of Statistics, 54(2), e70014. [journal] [arXiv] [slides] [code]
(Winner of ICHPS 2015 Student Travel Award)Jingxin Yan, Lin Liu, Oliver Dukes, Qizhai Li, and Linbo Wang (2026). Contribution to the Discussion of ‘Regression by composition’ by Farewell et al. Journal of the Royal Statistical Society Series B: Statistical Methodology, qkag088. [arXiv] [journal]
Mei Dong, Linbo Wang, Lin Liu, and Oliver Dukes (2026). Contribution to the Discussion of ‘Regression by composition’ by Farewell et al. Journal of the Royal Statistical Society Series B: Statistical Methodology, qkag093. [arXiv] [journal]
Ruixuan Zhao, Oliver Dukes, Linbo Wang, and Lin Liu (2026). Contribution to the Discussion of ‘Regression by composition’ by Farewell et al. Journal of the Royal Statistical Society Series B: Statistical Methodology, qkag090. [arXiv] [journal]
Bingyu Zhang, Qiong Wu, Yiwen Lu, Dazheng Zhang, Ting Zhou, Jiayi Tong, Yuqing Lei, Haitao Chu, Linbo Wang, Yumou Qiu, Patrick Ryan, Christopher Forrest, George Hripcsak, and Yong Chen* (2026+). Importance of Time-At-Risk for Evaluating Time-Varying Residual Bias in Observational Studies. Communications Health, to appear.
Bingyu Zhang, Qiong Wu, Ting Zhou, Dazheng Zhang, Jiayi Tong, Yuqing Lei, Haitao Chu, Linbo Wang, Anna Ostropolets, Yumou Qiu, Yun Lu, Patrick B. Ryan, Jeffrey S. Morris, Martijn J. Schuemie, Christopher B. Forrest, George Hripcsak, and Yong Chen (2026). Assessing Residual Bias in Real-World Vaccine Effectiveness Studies: Validating Negative Controls to Avoid Misleading Results. BMC Medicine, published online. [journal]
Dazheng Zhang, Bingyu Zhang, Huiyuan Wang, Yiwen Lu, Charles J. Wolock, Wenjie Hu, Linbo Wang, George Hripcsak, and Yong Chen (2025). Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences. npj Digital Medicine, 8(1), 452. [journal]
Xiaochuan Shi, Dehan Kong, and Linbo Wang* (2025). Simultaneous Estimation of Multiple Treatment Effects from Observational Studies. Journal of Computational and Graphical Statistics, 34(4), 1376–1385. [arXiv] [journal]
Jinyoung Ko, Linbo Wang, and Seungjae Lee. (2025). Occupant thermostat override behaviour in HVAC optimal control. Journal of Physics: Conference Series, 3140(11), 112014. [journal]
Dazheng Zhang, ..., Linbo Wang, ..., Yong Chen (2025). Racial/ethnic differences in post-acute sequelae of SARS-CoV-2 in children and adolescents in the United States. Nature Communications, 16, 878. [journal] [preprint]
Qiong Wu, ..., Linbo Wang, ..., Yong Chen, and the RECOVER Consortium (2025). Real-world effectiveness and causal mediation study of BNT162b2 on long COVID risks in children and adolescents. EClinicalMedicine, 79, 102962. [medRxiv] [journal]
Ying Zhou, Dingke Tang, Dehan Kong, and Linbo Wang* (2024) . Promises of Parallel Outcomes. Biometrika, 111.2 (2024): 537-550. [arXiv] [slides (long)] [slides (short)]
(Winner of IMS Hannan Graduate Student Travel Award 2021)
(Winner of ICSA Student Paper Award 2021)
Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt (2023). Instrumental variable estimation of the causal hazard ratio (with discussion). Biometrics,79(2), 539-550. [arXiv] [code] [slides]
Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt (2023). Rejoinder. Biometrics,79(2), 564-568. [arXiv]
Zhenhua Lin, Dehan Kong, and Linbo Wang* (2023). Causal Inference on Distribution Functions. Journal of the Royal Statistical Society: Series B, 85(2), 378-398. [arXiv] [journal] [slides] [video]
Dingke Tang, Dehan Kong, Wenliang Pan, and Linbo Wang* (2023). Ultra-high dimensional variable selection for doubly robust causal inference. Biometrics, 79(2), 903-914. [arXiv] [code] [slides]
Linbo Wang, Xiang Meng, Thomas Richardson, and James Robins (2023). Coherent modeling of longitudinal causal effects on binary outcomes. Biometrics, 79(2), 775-787. [arXiv] [journal] [data & code]
Fernando Hartwig, Linbo Wang, George Davey Smith, and Neil Davies (2023). Average causal effect estimation via instrumental variables: the no simultaneous heterogeneity assumption. Epidemiology, 34(3), 325-332. [arXiv].
Yuexia Zhang, Peibei Shi, Zhongyi Zhu, Linbo Wang, and Annie Qu (2023). Weak signal identification and inference in penalized likelihood models for categorical responses. Statistica Sinica, 33(2), 759-786. [arXiv]
Michael Best, Sylvia Romanowska, Ying Zhou, Linbo Wang, Talia Leibovitz, Karin A. Onno, Shreya Jagtap, Christopher Bowie. (2023). Efficacy of remotely delivered evidence-based psychosocial treatments for schizophrenia-spectrum disorders: a series of systematic reviews and meta-analyses. Schizophrenia Bulletin, 49(4), 973–986.
Blair Bilodeau, Linbo Wang, and Daniel M. Roy (2022). Adaptively Exploiting d-Separators with Causal Bandits (oral presentation). Advances in Neural Information Processing Systems (NeurIPS), 35, 20381–20392. [arXiv]
Dengdeng Yu, Linbo Wang, Dehan Kong, Hongtu Zhu (2022). Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer's Disease. Journal of the American Statistical Association, 117(540), 1656-1668. [arXiv][journal]
Dehan Kong, Shu Yang, and Linbo Wang* (2022). Identifiability of causal effects with multiple causes and a binary outcome. Biometrika, 109(1): 265-272. [arXiv] [journal]
Jiaqi Yin, Sonia Markes, Thomas Richardson, and Linbo Wang* (2022). Multiplicative Effect Modelling: The General Case. Biometrika, 109(2), 559-566. [arXiv][journal]
Fernando Hartwig, Linbo Wang, George Davey Smith, and Neil Davies (2022). Homogeneity in the Instrument-exposure Association and Point Estimation Using Binary Instrumental Variables. Epidemiology, 33(6), 828-831. [arXiv] [journal]
Julien St.-Pierre, Xinyi Zhang, Tianyuan Lu, Lai Jiang, Xavier Loffree, Linbo Wang*, Sahir Bhatnagar*, Celia Greenwood* (2022). Considering strategies for SNP selection in genetic and polygenic risk scores. Frontiers in Genetics, 13, 900595. [journal]
Linbo Wang, Yuexia Zhang, Thomas Richardson, and James Robins (2021). Estimation of local treatment effects under the binary instrumental variable model. Biometrika, 108(4), 881-894. [arXiv] [journal] [code]
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, and Daniel M. Roy (2020). In Search of Robust Measures of Generalization. Advances in Neural Information Processing Systems 33 (NeurIPS), 11723–11733. [arXiv]
Yuexia Zhang and Linbo Wang* (2020). Conditional Independence Beyond Domain Separability. Journal of the Royal Statistical Society: Series B, 82(4), 927-928. [arXiv]
Yue Wang and Linbo Wang (2020). Causal inference in degenerate systems: An impossibility result. Proceedings of Machine Learning Research (AISTATS 2020), 108, 3383–3392. [arXiv]
Shu Yang, Linbo Wang, and Peng Ding (2019). Causal inference with confounders missing not at random. Biometrika, 106(4): 875-888. [arXiv] [slides]
Linbo Wang and Eric Tchetgen Tchetgen (2018). Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables. Journal of the Royal Statistical Society: Series B, 80(3), 531-550. [arXiv] [data & code] [slides]
Thomas Richardson, James Robins, and Linbo Wang (2018). Discussion of "Data-Driven Confounder Selection via Markov and Bayesian Networks" by Haggstrom J. Biometrics, 74(2), 403-406. [arXiv]
Eric Tchetgen Tchetgen, Linbo Wang, and Baoluo Sun (2018). Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and Inference. Statistica Sinica, 28(4), 2069-2088. [arXiv]
Jessica Marden, Linbo Wang, Eric Tchetgen Tchetgen, Stefan Walter, Maria Glymour, and Kathleen Wirth (2018). Implementation of Instrumental Variable Bounds for Data Missing Not at Random. Epidemiology, 29(3), 364-368. [journal]
Thomas Richardson, James Robins, and Linbo Wang* (2017). On Modeling and Estimation for the Relative Risk and Risk Difference. Journal of the American Statistical Association: Theory and Methods, 112(519), 1121-1130. [arXiv] [slides (long)] [slides (short)] [poster]
Linbo Wang, Mark Clements, and Thomas Richardson (2016). R package brm: Binary regression model. The Comprehensive R Archive Network.
Linbo Wang, Thomas Richardson, and Xiao-Hua Zhou (2017). Causal Analysis of Ordinal Treatments and Binary Outcomes under Truncation by Death. Journal of the Royal Statistical Society: Series B, 79(3), 719–735. [arXiv] [slides] [poster]
Linbo Wang, Xiao-Hua Zhou, and Thomas Richardson (2017). Identification and Estimation of Causal Effects with Outcomes Truncated by Death. Biometrika, 104(3): 597-612. [arXiv]
Zhixuan Shao, Bo Liu, Linbo Wang, and Xiao-Hua Zhou (2019). R package tbd: Estimation of causal effects with outcomes truncated by death. The Comprehensive R Archive Network.
Linbo Wang, James Robins, and Thomas Richardson (2017). On Falsification of the Binary Instrumental Variable Model. Biometrika, 104(1): 229-236. [arXiv] [slides]
Linbo Wang and Thomas Richardson (2017). On the Concordant Survivorship Assumption. Statistics in Medicine, 36(4), 717-720. [journal]
Linbo Wang, Shizhe Chen, and Ali Shojaie (2016). Comment on "Causal Inference Using Invariant Prediction: Identification and Confidence Intervals" by Peters, J., Buhlmann, P. and Meinshausen, N.. Journal of the Royal Statistical Society: Series B, 78(5), 1004-1005. [journal]
Yuhai Zhang, Xiao-Hua Zhou, Dana Meranus, Linbo Wang, and Walter Kukull (2016). Benzodiazepine Use and Cognitive Decline in Elderly With Normal Cognition. Alzheimer Disease & Associated Disorders, 30(2), 113-117. [journal]
Linbo Wang, Xiao-Hua Zhou, and Walter Kukull (2013). Are Some Individuals Immune to Dementia? Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 9.4: P617-P618. [journal]
Preliminary results covered in Neurology Reviews (2013), 21(9):13.
Quan Wang, Linbo Wang, Minping Qian, and Minghua Deng (2010). A Hybridization Model for Tiling Array Analysis. In Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on (pp. 148-151). IEEE. [conference]
Non-refereed Contributions: