Welcome! I am Chao Cheng. I recently received my PhD in Biostatistics from the Yale School of Public Health, where I had the privilege of being advised by Dr. Fan Li and Dr. Donna Spiegelman. Prior to joining Yale, I received a B.S in Economics from Donghua University (Shanghai, China) and an M.S in Applied Statistics from Tsinghua University (Beijing, China). I will join the Department of Statistics and Data Science at Washington University in St. Louis as a junior faculty member.
My research primarily focuses on causal inference (mediation analysis, marginal structural models, principal stratification, causal inference on quantile), measurement error correction, and epidemiological methods. I am also very interested in applications of statistical methods to public health and biomedical studies.
Why not take a break and ride this elevator to look at the space?
Contact
The best way to contact me is through my E-mail c[dot]cheng[at]yale[dot]edu
PhD student in Biostatistics, Yale University, New Haven, US (2020- 2025)
M.S. in Applied Statistics (Mathematical Finance pathway), Tsinghua University, Beijing, China (2017-2019)
B.S. in Economics, Donghua University, Shanghai, China (2013-2017)
Tong, Jiaqi, Chao Cheng, Guangyu Tong, Michael Harhay, Fan Li. "Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials." arXiv:2410.07483 (2024).
Cheng, Chao, and Fan Li. "Semiparametric causal mediation analysis in cluster-randomized experiments." arXiv:2404.18256 (2024).
Cheng, Chao, Yueqi Guo, Bo Liu, Lisa Wruck, Fan Li, and Fan Li. "Multiply robust estimation for causal survival analysis with treatment noncompliance" arXiv:2305.13443 (2023). [supplementary material]
(* indicates corresponding author; see my google scholar for a complete list of my publications)
Cheng, Chao, and Fan Li. "Identification and multiply robust estimation in causal mediation analysis across principal strata." Journal of the Royal Statistical Society: Series B (in press) (2025). [preprint] [slides] [R package psmediate]
Owen, Melody*, Geoffrey Curran, Justin Smith, Yacob Tedla, Chao Cheng, and Donna Spiegelman. "Power and sample size calculations for cluster randomized hybrid type 2 effectiveness-implementation studies." Statistics in Medicine (2025) [preprint].
Cheng, Chao*, Donna Spiegelman, and Fan Li. "Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome" Journal of the Royal Statistical Society: Series C (2025) [arxiv preprint] [supplementary material] [R package survmed]
Cheng, Chao*, and Fan Li*. "Inverting estimating equations for causal inference on quantiles." Biometrika (2024). [arxiv preprint]
Cheng, Chao*, Liangyuan Hu, and Fan Li*. "Doubly robust estimation and sensitivity analysis for marginal structural quantile models." Biometrics (2024). [arxiv preprint] [R package msqm]
Cheng, Chao, Yueqi Guo, Bo Liu, Lisa Wruck, Fan Li, and Fan Li*. "Multiply robust estimation of principal causal effects with noncompliance and survival outcomes." Clinical Trials (2024).
Cheng, Chao*, Donna Spiegelman, and Fan Li. "Mediation analysis in the presence of continuous exposure measurement error." Statistics in Medicine (2023).
Cheng, Chao*, Donna Spiegelman, and Fan Li. "Is the product method more efficient than the difference method for assessing mediation?." American Journal of Epidemiology (2022).
Cheng, Chao, Fan Li, Laine E. Thomas, and Fan Li*. "Addressing Extreme Propensity Scores in Estimating Counterfactual Survival Functions via the Overlap Weights." American Journal of Epidemiology 191, no. 6 (2022): 1140-1151. [R tutorial on GitHub]
Sloan, Abigail, Chao Cheng, Bernard Rosner, Regina G. Ziegler, Stephanie A. Smith-Warner, and Molin Wang*. "A repeated measures approach to pooled and calibrated biomarker data." Biometrics (2021).
Cheng, Chao*, Donna Spiegelman, and Fan Li. "Estimating the natural indirect effect and the mediation proportion via the product method." BMC Medical Research Methodology 21, no. 1 (2021): 1-20. [R package mediateP]
Cheng, Chao, Donna Spiegelman, Zuoheng Wang, and Molin Wang*. "Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures." G3: Genes, Genomes, Genetics, 11.10 (2021): jkab236
Cheng, Chao, Abigail Sloan, and Molin Wang*. "Statistical methods for analysis of combined biomarker data from multiple nested case–control studies." Statistical Methods in Medical Research 30, no. 8 (2021): 1944-1959.
Cheng, Chao, Rui Wang, and Heping Zhang*. "Surrogate Residuals for Discrete Choice Models." Journal of Computational and Graphical Statistics 30, no. 1 (2021): 67-77.
Cheng, Chao, and Molin Wang*. "Statistical methods for analysis of combined categorical biomarker data from multiple studies." The Annals of Applied Statistics 14, no. 3 (2020): 1146.
"Mediation analysis in the presence of exposure measurement error", Joint statistical meetings, Washington, DC, August 2022.
"Doubly robust estimation and sensitivity analysis for marginal structural quantile models" (Poster Presentation), American Causal Inference Conference, Berkeley, CA, May 2022.
"Mediation analysis in the presence of exposure measurement error", CMIPS/YCAS working group seminar, Yale University, New Haven, CT, March 2022.
"Estimating natural indirect effect and mediation proportion via the product method", CMIPS seminar, Yale University, New Haven, CT, October 2020.
JSM Early Career Paper Award, Biometrics Section, American Statistical Association (2023)
Student Paper Travel Award, International Conference on Health Policy Statistics (2023)
Distinguished Student Paper Award, International Biometric Society (ENAR) (2023)
Honorable Mention of Thomas Ten Have Award, American Causal Inference Conference (2022)
JSM Young Investigator Award, Statistics in Epidemiology Section, American Statistical Association (2022)
Graduated First Class Honor, Tsinghua University (2019)
Excellent Master's Thesis Award, Tsinghua University (2019)
Peer Review Activities for Journals
American Journal of Epidemiology, American Journal of Respiratory and Critical Care Medicine, Annals of Applied Statistics, Biometrics, BMC Medical Research Methodology, Electronic Journal of Statistics, Epidemiologic Methods, Journal of Causal Inference, Journal of the American Statistical Association, Journal of the Royal Statisticsal Society: Series B, Statistics in Medicine.