Yuyao Wang

I am currently a 5th-year PhD student in mathematics with a specialization in statistics at University of California San Diego, advised by Prof. Ronghui (Lily) Xu. Before graduate school, I recieved my bachelor’s degree in mathematics from Xi’an Jiaotong University, China. I also visited Georgia Institute of Technology and University of Alberta as a visiting student during my undergrad.

Email    GitHub    Google Scholar    CV   

profile photo
Research

My methodology research interests include causal inference, survival analysis, missing data problems, semiparametric theory, and high dimensional statistics. I am also broadly interested in applications in medical data, health data, and aging studies.

Publications and Preprints
  1. Yuyao Wang, Andrew Ying, Ronghui Xu. (2022) Doubly robust estimation under covariate-induced dependent left truncation. arXiv preprint. arXiv:2208.06836. (Accepted in Biometrika) [pdf] [code] [R package]

    (This paper won the student paper competition award for 2023 Lifetime Data Science Conference)

  2. 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]
R packages
  1. truncAIPW: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
  2. aftR2: R-squared Measure under Accelerated Failure Time (AFT) Models
Presentations
  1. Doubly Robust Estimation under Covariate-induced Dependent Left Truncation. Presentation at McGill Statistics Seminar (2023 Fall). [slides]
  2. Doubly Robust Estimation under Covariate-induced Dependent Left Truncation. Presentation at 2023 Joint Statistical Meeting. [slides]
  3. Doubly Robust Estimation under Covariate-induced Dependent Left Truncation. Presentation at 2023 Lifetime Data Science Conference. [slides]
  4. Multiply Robust Estimation of Treatment Effect for Time-to-event Outcome under Dependent Left Truncation. Poster at 2023 American Causal Inference Conference.
  5. Doubly Robust Estimation under Covariate-induced Dependent Left Truncation. Poster at 2023 Public Health Research Day at UCSD.
  6. Semiparametric Estimation for Non-randomly Truncated Data. Poster at 2022 American Causal Inference Conference.
  7. Semiparametric Estimation for Non-randomly Truncated Data. Poster presented at 2022 Public Health Research Day at UCSD.

Template from here.