DEPARTMENT FACULTY

  Jim Anthony
 
David Barondess
 
Ahnalee Brincks
  Simone Charles
 
Honglei Chen
  Gustavo de los Campos
 
Debra Furr-Holden
 
Joseph Gardiner
 
Kelly Hirko
 
Claudia Holzman
 
Carol Janney
  Allan Kozlowski
 
Jean Kerver
 
Chenxi Li
 
Qing Lu
 
Zhehui Luo
 
Claire Margerison-Zilko
 
Janet Osuch
 
Nigel Paneth
 
Dorothy Pathak
 
James Pivarnik
 
Mat Reeves
 
A.Mahdi. Saeed
 
Nicole Talge
 
David Todem
 
Ana Vázquez
 
Elizabeth (Betsy) Wasilevich
 
Lixin Zhang
  Adjunct Faculty
  Emeritus Faculty

GRADUATE DIRECTOR

  David Barondess 

SPECIALISTS - RESEARCH

  Madeleine Lenski

 

Chenxi Li, Ph.D.

Assistant Professor of Biostatistics
Division of Biostatistics
PhD in Statistics, University of Wisconsin-Madison 2010

Michigan State University
Department of Epidemiology and Biostatistics
909 Fee Road Room B601
Michigan State University
East Lansing 48824
517353.8623
cli@epi.msu.edu

Research Interests

Statistical analysis of interval-censored failure time data and multivariate survival analysis including competing risks analysis, frailty models and multi-state models as well as their applications to biomedical sciences.

Selected Publications

Li, C. Two-Sample Tests for Survival Data from Observational Studies. Lifetime Data Analysis, in press.

Li, C. Cause-Specific Hazard Regression for Competing Risks Data Under Interval Censoring and Left Truncation. Computational Statistics and Data Analysis, in press.

Pak, D., Li, C., Todem, D. and Sohn, W. A Multi-State Model for Correlated Interval Censored Life History Data in Caries Research. Journal of the Royal Statistical Society: Series C (Applied Statistics), in press.

Li, C. (2016). The Fine-Gray Model Under Interval Censored Competing Risks Data. Journal of Multivariate Analysis, 143, 327-344.

Li, C., Dowling, N. M. and Chappell, R. (2015). Quantile Regression with a Change-point Model for Longitudinal Data: An Application to the Study of Cognitive Changes in Preclinical Alzheimer's Disease. Biometrics, 71, 625-635.

Hudgens, M., Li, C. and Fine, J. (2014). Parametric likelihood inference for interval censored competing risks data. Biometrics, 70, 1-9.

Li, C. and Fine, J. (2013). Smoothed Nonparametric Estimation for Current Status Competing Risks Data. Biometrika, 100, 173-187.

Li, C., Wei, Y., Chappell, R. and He, X. (2011). Bent Line Quantile Regression with Application to an Allometric Study of Land Mammals' Speed and Mass. Biometrics, 67, 242-249.