Li Chen

CV

• Education

  B.S. Statistics, July 2001, Peking University, Beijing, China
  M.S. Statistics, July 2004, Peking University, Beijing, China
  Ph.D. Biostatistics, August 2009, University of North Carolina at Chapel Hill, Chapel Hill, NC

• Research Interests

  My research focuses on the development and application of novel statistical methods for medical and epidemiological studies especially in cancer research. Specifically, I am interested in semiparametric and nonparametric methods, survival analysis, longitudinal data analysis, prediction models, and analysis of environmental data subject to detection limits.
  

• Selected Publications

  1. Chen L, Lin DY, Zeng D. 2010. Attributable fraction functions for censored time to event data. Biometrika, 97:713-726.
  2. Chen L, Lin DY, Zeng D. 2012. Checking semiparametric transformation models with censored data. Biostatistics, 13:18-31.
  3. Chen L, Lin DY, Zeng D. 2012. Predictive accuracy of covariates for event times. Biometrika, 99:615-630.
  4. Chen L, Romond E, Chokshi S, Saeed H, Hodskins J, Stevens M, Pasley G, Weiss H, Massarweh S. 2012. A prognostic model of early breast cancer relapse after standard adjuvant therapy and comparison with metastatic disease on initial presentation. Breast Cancer Res Treat, 136:565-72.
  5. Chen L, Voronovich Z, Clark K, Hands I, Mannas J, Walsh M, Nikiforova MN, Durbin EB, Weiss H, Horbinski C. 2014. Predicting the likelihood of an IDH1 or IDH2 mutation in patients diagnosed with infiltrative gliomas. Neuro-Oncology. Accepted.

• Softwares

  1. paf: Attributable Fraction Function for Censored Survival Data
  • R package
  • Stata Wrapper (Windows Version)
  • Stata Wrapper (Mac Version)
  2. An interactive web-based software for predicting the likelihood of an IDH1 or IDH2 mutation in patients with infiltrative gliomas