Yi Li is a Professor of Biostatistics and Director of the Kidney Epidemiology and Cost Center. His current research interests are survival analysis, longitudinal and correlated data analysis, measurement error problems, spatial models and clinical trial designs. His group is developing methodologies for analyzing large-scale andhigh-dimensional datasets, with direct applications inobservational studies as well in genetics/genomics. His methodologic research is funded by various NIH statistical grants starting from year 2003. Yi Li is actively involved in collaborative research in clinical trials and observational studies with researchers from the University of Michigan and Harvard University. The applications have included chronic kidney disease surveillance, organ transplantation, cancer preventive studies and cancer genomics.
Postdoctor, Biostatistics, Harvard, 1999-2000
Ph.D., Biostatistics, University of Michigan, 1999
M.S., Biostatistics, University of Michigan, 1996
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Li, Y., Dicker, L. and Zhao, D. (2012). The Dantzig Selector for Censored Linear Regression Models Stat Sinica,, In Press
Li, Y., Tian, L. and Wei, LJ. (2011). Estimating subject-specific dependent competing risk profile with censored event time observations Biometrics, 67, 427-35.
Li, Y., Prentice, R. and Lin, X. (2008). Semiparametric Maximum Likelihood Estimation in Normal Transformation Models for Bivariate Survival Data Biometrika, 95, 947-960.
Li, Y., Tiwari, R., Guha, S (2007). Mixture Cure Survival Models with Dependent Censoring Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69, 285-306.
Li, Y., Shih, M. and Betensky, R (2007). Designed Extension of Survival Studies: Application to Clinical Trials with Unrecognized Heterogeneity Statistica Sinica, 17, 1567-1589.
Li, Y., Lin, X. (2006). Semiparametric Normal Transformation Models for Spatially Correlated Survival Data Journal of the American Statistical Association, 101, 591-603.
Li, Y. and Ryan, L. (2006). . Inference on survival data with covariate measurement error - an imputation approach Scandinavian Journal of Statistics, 33, 169-190.
Li, Y. and Feng, J. (2005). A Nonparametric Comparison of Conditional Distributions with Nonnegligible Cure Fractions Lifetime Data Analysis, 11, 367-387.
Li, Y. and Ryan, L. (2004). . Survival analysis with heterogeneous measurement error Journal of the American Statistical Association, 99, 465, 724-735.
Li, Y. and Lin, X. (2003). Functional inference in frailty measurement error models for clustered survival data using the SIMEX approach Journal of the American Statistical Association, 98, 461, 191-204.