Yuyao Wang
I am a postdoctoral research fellow in the Department of Public Health and Health Sciences at Northeastern University, working with Prof. Larry Han.
I received my PhD degree in mathematics with a specialization in statistics in 2025 at University of California San Diego,
where I was advised by Prof. Ronghui (Lily) Xu and collaborating with Dr. Andrew Ying.
I also received mentorship from Dr. Kendrick Li during my 2024 summer internship at St. Jude Children's Research Hospital.
Before graduate school, I recieved my bachelor’s degree in mathematics from Xi’an Jiaotong University.
I also visited Georgia Institute of Technology and University of Alberta as a visiting student during my undergrad.
Email
GitHub
Google Scholar
CV
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Research
My research is in causal inference, survival analysis, missing data problems, and semiparametric theory, particularly in addressing challenges related to left truncation, a common source of selection bias (sampling bias) for time-to-event data.
I am broadly interested in topics in causal inference, survival analysis, and missing data problems, especially in selection bias, heterogeneous treatment effects, balancing weighting approaches, assumption violations, continuous treatment, and time-varying treatment.
I am also interested in semiparametric and nonparametric theory, high dimensional statistics, and conformal inference.
I am interested in applications in health and social sciences.
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Publications
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- Yuyao Wang, Andrew Ying, Ronghui Xu. (2024)
Doubly robust estimation under covariate-induced dependent left truncation.
Biometrika, 111(3), 789-808.
[pdf]
[code]
[R package]
(This paper won the student paper competition award for 2023 Lifetime Data Science Conference)
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Yingwei Peng, Yuyao Wang, Ronghui Xu. (2023)
Measures of explained variation under the mixture cure model for survival data.
Statistics in Medicine, 42(3), 228-245.
[pdf]
ArXiv Preprints and Working Papers
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- Yuyao Wang, Andrew Ying, Ronghui Xu. (2024)
A liberating framework from truncation and censoring, with application to learning treatment effects.
arXiv:2411.18879.
[pdf]
[code]
- Yuyao Wang, Andrew Ying, Ronghui Xu. (2025+)
Proximal survival analysis for dependent left truncation.
(In preparation).
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Lon R. White, Yuyao Wang, Lenore Launer, Lucia Seale, Marla Berry, Margaret Flannagan, Thomas J. Montine, Ronghui Xu.
(2024+)
Midlife dietary selenium and Okinawan ancestry are independently associated with less severe Alzheimer neuropathology at autopsy in Japanese-American men.
Submitted to Journal of Alzheimer's Disease.
R packages
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truncAIPW: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
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aftR2: R-squared Measure under Accelerated Failure Time (AFT) Models
Presentations
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Talks
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Proximal Survival Analysis for Dependent Left Truncation.
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Joint Statistical Meetings (JSM), 2025.
[slides]
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Learning Treatment Effects under Covariate Dependent Left Truncation and Right Censoring.
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Lifetime Data Science Conference, 2025.
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Online Causal Inference Seminar (OCIS), November 5, 2024.
[slides]
[video]
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Biostatistics Seminar, Department of Population Medicine, Harvard Pilgrim Health Care Institute, 2024.
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Causal Inference Seminar, Boston University, 2024.
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Causal Group Seminar, Carnegie Mellon University, 2024.
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Joint Statistical Meetings, 2024.
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Southern California Applied Mathematics Symposium, 2024.
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Doubly Robust Estimation under Covariate-induced Dependent Left Truncation.
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McGill Statistics Seminar, 2023.
[slides]
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Lifetime Data Science Conference (LiDS), 2023.
[slides]
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Joint Statistical Meetings (JSM), 2023.
[slides]
Posters
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Learning Treatment Effects under Covariate Dependent Left Truncation and Right Censoring.
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Public Health Research Day at UCSD, 2025.
[poster]
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Doubly Robust Estimation of Treatment Effects under Covariate Dependent Left Truncation and Right Censoring.
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American Causal Inference Conference (ACIC), 2024.
[poster]
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Public Health Research Day at UCSD, 2024.
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Multiply Robust Estimation of Treatment Effect for Time-to-event Outcome under Dependent Left Truncation.
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American Causal Inference Conference (ACIC), 2023.
[poster]
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Public Health Research Day at UCSD, 2023.
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Semiparametric Estimation for Non-randomly Truncated Data.
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American Causal Inference Conference (ACIC), 2022.
[poster]
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Public Health Research Day at UCSD, 2022.
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