Yifei Sun, PhD

  • Assistant Professor of Biostatistics
Profile Headshot


Academic Appointments

  • Assistant Professor of Biostatistics

Credentials & Experience

Education & Training

  • BS, 2010 Zhejiang University
  • PhD, 2015 Johns Hopkins University


Dr. Sun's main methodological interest lies in biostatistical methodology and statistical learning in survival and longitudinal data analysis.


Research Interests

  • Biostatistical Methods

Selected Publications

Eaton A, Sun Y, Neaton J, and Luo X (2021). Nonparametric estimation in an illness-death model with component-wise censoring. Biometrics. In press. doi: 10.1111/biom.13482.

Sun Y, Chiou SH, Marr KA, Huang C-Y (2021). Statistical inference for shape- and size-indexes of counting processes. Biometrika. In press. doi: 10.1093/biomet/asab008.

Sun Y, McCulloch CE, Marr KA, and Huang C-Y (2021). Recurrent events analysis with data collected at informative clinical visits in electronic health records. Journal of the American Statistical Association. 116: 594-604.

Sun Y, Chiou SH, Wang M-C (2020). ROC-Guided survival trees and ensembles. Biometrics. 76:1177-1189.

Sheng Y, Sun Y, Deng D, Huang C-Y (2020). Censored linear regression in the presence or absence of auxiliary survival information. Biometrics, 76(3), 734-745

Bai J, Sun Y, Schrack JA, Crainiceanu CM, Wang M-C (2018). A two-stage model for wearable device data. Biometrics. 74: 744-752.

Sun Y, Qin J, and Huang C-Y (2018). Missing information principle: a unified approach for general left-truncated and/or right-censored survival data problems.Statistical Science, 33:261-276.

Sun Y, Chan G, and Qin J (2018). Simple and fast overidentified rank estimation for right-censored length-biased data. Biometrics, 74: 77-85.

Sun Y, Huang C-Y and Wang M-C (2017). Nonparametric benefit-risk assessment using marker process in the presence of a terminal event. Journal of the American Statistical Association, 112(518): 826-836.

Sun Y and Wang M-C (2017). Evaluating utility measurement with recurrent marker processes in the presence of competing terminal events. Journal of the American Statistical Association, 112(518): 745-756.